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zylo117
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update mAP
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‎benchmark/coco_eval_result‎

Lines changed: 112 additions & 111 deletions
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efficientdet-d0
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.331
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.512
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.348
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.122
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.520
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.277
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.419
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.449
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.186
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.522
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.651
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efficientdet-d1
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.388
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.577
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.413
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.189
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.441
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.564
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.312
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.480
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.513
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.287
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.580
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.699
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efficientdet-d2
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.612
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.446
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.237
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.474
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.584
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.331
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.514
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.549
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.337
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.610
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711
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efficientdet-d3
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.456
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.645
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.489
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.283
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.499
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.614
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.350
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.548
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.584
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.398
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.636
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735
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efficientdet-d4
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.481
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.672
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.520
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.320
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.528
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.625
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.357
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.565
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.600
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.436
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.649
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.728
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efficientdet-d5
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.687
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.532
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.333
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.540
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.632
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.367
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.584
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.621
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.467
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.662
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.739
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efficientdet-d6
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.501
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.692
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.540
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.338
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.544
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.637
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.368
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.588
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.626
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.469
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.667
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.738
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efficientdet-d7
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.507
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.696
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.545
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.352
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.551
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.370
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.588
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.624
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.466
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.663
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.743
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efficientdet-d0
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.331
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.512
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.348
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.122
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.520
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.277
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.419
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.449
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.186
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.522
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.651
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efficientdet-d1
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.388
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.577
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.413
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.189
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.441
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.564
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.312
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.480
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.513
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.287
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.580
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.699
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efficientdet-d2
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.612
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.446
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.237
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.474
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.584
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.331
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.514
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.549
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.337
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.610
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.711
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efficientdet-d3
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.456
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.645
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.489
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.283
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.499
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.614
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.350
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.548
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.584
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.398
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.636
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735
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efficientdet-d4
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.488
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.679
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.526
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.324
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.538
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.367
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.577
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.615
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.444
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.667
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.751
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efficientdet-d5
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.695
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.539
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.337
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.550
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.642
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.376
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.599
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.638
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.477
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.679
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.765
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efficientdet-d6
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.507
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.700
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.546
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.346
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.554
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.650
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.371
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.598
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.637
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.483
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.681
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.760
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efficientdet-d7
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.512
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.703
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.552
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.361
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.563
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.650
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.372
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.598
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.635
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.481
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.683
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.761
112+

‎readme.md‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -16,10 +16,10 @@ The speed/FPS test includes the time of post-processing with no jit/data precisi
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| D1 | [efficientdet-d1.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d1.pth) | 1159 | 29.69 | 63.08 | 38.8 | 39.6
1717
| D2 | [efficientdet-d2.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d2.pth) | 1321 | 26.50 | 40.99 | 42.1 | 43.0
1818
| D3 | [efficientdet-d3.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d3.pth) | 1647 | 22.73 | - | 45.6 | 45.8
19-
| D4 | [efficientdet-d4.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d4.pth) | 1903 | 14.75 | - | 48.1 | 49.4
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| D5 | [efficientdet-d5.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d5.pth) | 2255 | 7.11 | - | 49.5 | 50.7
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| D6 | [efficientdet-d6.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d6.pth) | 2985 | 5.30 | - | 50.1 | 51.7
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| D7 | [efficientdet-d7.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d7.pth) | 3819 | 3.73 | - | 50.7 | 52.2
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| D4 | [efficientdet-d4.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d4.pth) | 1903 | 14.75 | - | 48.8 | 49.4
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| D5 | [efficientdet-d5.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d5.pth) | 2255 | 7.11 | - | 50.2 | 50.7
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| D6 | [efficientdet-d6.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d6.pth) | 2985 | 5.30 | - | 50.7 | 51.7
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| D7 | [efficientdet-d7.pth](https://github.com/zylo117/Yet-Another-Efficient-Pytorch/releases/download/1.0/efficientdet-d7.pth) | 3819 | 3.73 | - | 51.2 | 52.2
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## Speed Test
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@@ -52,7 +52,7 @@ ___
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## Update Log
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[2020-05-10] replace nms with batched_nms to further improve mAP by 0.5~0.7, thanks @Laughing-q.
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[2020-05-10] replace nms with batched_nms to further improve mAP by 0.5~0.7, thanks [Laughing-q](https://github.com/Laughing-q).
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[2020-05-04] fix coco category id mismatch bug, but it shouldn't affect training on custom dataset.
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