Best model choice to finetune on new classes for object detection? [D]

WingedTorchB to Machine Learning@academy.gardenEnglish · 1 year ago

Let’s say I have trained my OD on the Coco dataset. Which choice of OD would be the best to finetune my model on a limited dataset of additional classes in a specific domain of images (Let’s say 1000 instances per class).

Would Yolov8 be a good choice? Are there even any benchmarks for this? Should I just look for the highest AP on Coco/Pascal?

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