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Now that training loop is nearly done, we need to evaluate how our implementation is doing vs popular datasets (I'm thinking Pascal VOC and COCO) in terms of AP, mAP, ...
Eventually, those metrics could be added into TensorBoard along training.
The text was updated successfully, but these errors were encountered:
Now that training loop is nearly done, we need to evaluate how our implementation is doing vs popular datasets (I'm thinking Pascal VOC and COCO) in terms of AP, mAP, ...
Eventually, those metrics could be added into TensorBoard along training.
The text was updated successfully, but these errors were encountered: