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This repository was archived by the owner on Aug 19, 2023. It is now read-only.
This repository was archived by the owner on Aug 19, 2023. It is now read-only.

Why is AP so low?(No changes were made. ) #260

@Eli-yu-first

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@Eli-yu-first

Hello blogger, may I ask which framework (/yhenon/pytorch-retinanet) on github I am running directly. No changes were made. Why is Average Precision (AP) so low?
"""
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.467
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.321
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.121
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.327
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.445
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.273
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.419
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.447
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.229
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.488
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.613
"""

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