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ONNX-ImageNet-1K-Object-Detector

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Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

Creat2021-12-12T22:46:13
Update2025-03-08T23:10:02
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