How can I exclude invalid annotation frames?
Thanks you for sharing good dataset.
I downloaded TRAN_0 set and annotations from https://exrcsdrive.kaust.edu.sa/exrcsdrive/index.php/s/MAaiTPdOwiPDNlp
I fond out some sequences have incorrect ground truth rect information. For example , TRAIN_0/ a1qoB1eERn0_0 : around the frame number 155-170, gt rects are incorrect. TRAIN_0/ a3In51YCqMg_0 : around the frame number 457-477, gt rects are incorrect.
I'd like to exclude these incorrect frames to train my model. Is there any annotation(indicator) for these frames?
Thanks in advance.
As mentioned in our paper, the dense annotations are extracted from coarser annotations at 1fps using a mixture of trackers.
Feel free to use any heuristic that discard those annotations if they are not suitable for your training.