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README.md
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This model achieves an mAP (average precision) of **59.0** on SKU110k validation set. Result was calculated with torchmetrics MeanAveragePrecision class.
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This model achieves an mAP (average precision) of **59.0** on SKU110k validation set. Result was calculated with torchmetrics MeanAveragePrecision class.
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## Training Code
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Code is released in this repository [Repo Link](https://github.com/Isalia20/DETR-finetune/tree/main). However it's not finalized/tested well yet but the main stuff is in the code.
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