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The evaluation of the pre-trained model is not producing the expected results.
The mAP results for the single and multi-scale settings on the pretrained model are 0.107 and 0.154, which is far less than the expected output of 0.59 and 0.66.
The mAP evaluation for a model trained from scratch(for 100 epochs with batch-size 8) is similarly producing poor results, mAP score of 0.137 on the multi-scale evaluation setting.
Hi
I am also facing the same issue. I have tested the pretrained network on coco 2017 dataset. It's not giving results as reported in paper.
Did you solve it?
please reply @mohitiitb
Hi @anewell,
The evaluation of the pre-trained model is not producing the expected results.
The mAP results for the single and multi-scale settings on the pretrained model are 0.107 and 0.154, which is far less than the expected output of 0.59 and 0.66.
The mAP evaluation for a model trained from scratch(for 100 epochs with batch-size 8) is similarly producing poor results, mAP score of 0.137 on the multi-scale evaluation setting.
Thanks!
PS: Adding Arjun and Rishabh to the thread. @stencilman @rishabhdabral
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