I convert PASCAL VOC dataset to COCO format, but when I trained yolos-tiny with 150 epochs and pre-trained weights , the results is so bad. I get no ideas.
Additional context
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.039 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.084
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.032 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.005 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.059 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.124
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.234 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.283 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.004 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.066 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.402
❔Question
I convert PASCAL VOC dataset to COCO format, but when I trained yolos-tiny with 150 epochs and pre-trained weights , the results is so bad. I get no ideas.
Additional context
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.039 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.084 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.032 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.005 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.059 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.124 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.234 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.283 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.004 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.066 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.402