Search before asking I have searched the YOLOv8 issues and found no similar bug report. YOLOv8 Component Training Bug I was training a new model and noticed that I have a big loss. For the purity of the experiment, I took my last dataset...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question I see that Distributed Focal Loss is used in Bbox Loss calculation. But in one of the issues I saw that DFL refers to Directi...
By incorporating PIoU v2 into popular object detectors such as YOLOv8 and DINO, we achieved an increase in average precision (AP) and improved performance compared to their original loss functions on the MS COCO and PASCAL VOC datasets, thus validating the effectiveness of our proposed improvement...
At the same time, we conducted quantitative comparisons of the current mainstream BIoU losses and our proposed CFIoU loss on the small object public datasets VisDrone2019 and SODA-D using the latest anchor-based YOLOv5 and anchor-free YOLOv8 object detection algorithms. The experimental results ...
yolo_world_l_dual_vlpan_2e-4_80e_8gpus_finetune_coco.py文件,我需要微调 base = ( '../../third_party/mmyolo/configs/yolov8/yolov8_l_syncbn_fast_8xb16-500e_coco.py') custom_imports = dict( imports=['yolo_world'], allow_failed_imports=False) hyper-parameters num_classes = 2 num...
base = ('../../third_party/mmyolo/configs/yolov8/' 'yolov8_l_syncbn_fast_8xb16-500e_coco.py') custom_imports = dict(imports=['yolo_world'], allow_failed_imports=False) hyper-parameters num_classes = 6 num_training_classes = 6 max_epochs ...
To this end, we used advanced mainstream anchor-based YOLOv5 and anchor-free YOLOv8 object detection algorithms on two small object public datasets, VisDrone2019 and SODA-D, and compared the CFIoU loss with other BIoU losses. For the same dataset, YOLOv5 and YOLOv8 both used the same ...