Unable to find an example that uses a Pytorch dataset and, more importantly, one that uses a Coco Detection dataset.
When running the Yolov8 example, the following error is the output:
[ERROR] Unexpected exception AssertionError('The dataloader must include label to measure the metric!') happened during tuning.
The error makes sense, but there is no obvious way to use a real Coco Detection dataset. See for example, the OpenVINO Notebook for Yolov8 : 230-yolov8-optimization.ipynb
Unable to find an example that uses a Pytorch dataset and, more importantly, one that uses a Coco Detection dataset.
When running the Yolov8 example, the following error is the output:
The error makes sense, but there is no obvious way to use a real Coco Detection dataset. See for example, the OpenVINO Notebook for Yolov8 : 230-yolov8-optimization.ipynb