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yeah it’s easy to fix those with a filter on the predictions. could use bayesian approach or just smooth using a majority vote over rolling window of say 3 frames...

YOLO stands for "You Only Look Once" so I don't think this will ever become "continuous"

AFAIK, the 'Look Once' part refers to other systems that re-ran a section of the frame at a time through an object detector, resulting in a lot of reprocessing.

You could still look only once, but have that look include multiple sequential frames. Or do something like an LSTM of frames.

Good point. I hadn't considered this.

For each frame, it returns a list of candidate detections with confidence values if I remember correctly. Should be pretty straightforward to make it smooth using that.

It maybe depends on the weights that you're loading with the model