detection 我是用自己数据训练 就是那个官方balloon数据，典型小样本，效果太差

[BoFan-tunning]

optimizer = dict(type='SGD', lr=0.05, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None)

learning policy

lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11]) runner = dict(type='EpochBasedRunner', max_epochs=20)

[BoFan-tunning]

2024-02-02 17:14:29,451 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.031 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.095 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.039 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.104 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.104 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.104 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.144

2024-02-02 17:14:29,451 - mmdet - INFO - +----------+-------+ | category | AP | +----------+-------+ | balloon | 0.031 | +----------+-------+ 2024-02-02 17:14:29,497 - mmdet - INFO - The previous best checkpoint F:\OpenGVLab\InternImage\detection\work_dirs\mask_rcnn_internimage_t_fpn_1x_coco\best_bbox_mAP_epoch_17.pth was removed 2024-02-02 17:14:31,301 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_20.pth. 2024-02-02 17:14:31,301 - mmdet - INFO - Best bbox_mAP is 0.0313 at 20 epoch. 2024-02-02 17:14:31,301 - mmdet - INFO - Exp name: mask_rcnn_internimage_t_fpn_1x_coco.py 2024-02-02 17:14:31,301 - mmdet - INFO - Epoch(val) [20][13] bbox_mAP: 0.0313, bbox_mAP_50: 0.0958, bbox_mAP_75: 0.0033, bbox_mAP_s: 0.0000, bbox_mAP_m: 0.0000, bbox_mAP_l: 0.0393, bbox_mAP_copypaste: 0.0313 0.0958 0.0033 0.0000 0.0000 0.0393, segm_mAP: 0.0306, segm_mAP_50: 0.0947, segm_mAP_75: 0.0000, segm_mAP_s: 0.0000, segm_mAP_m: 0.0000, segm_mAP_l: 0.0393, segm_mAP_copypaste: 0.0306 0.0947 0.0000 0.0000 0.0000 0.0393

[BoFan-tunning]

20 训练乱好惨，怎么提供效果，只能加样本或者是训练轮次吗？感觉上这模型对数据部明个

[Emperor124]

请问你怎么修改的数据类别为自己的，我在项目里没找到修改的地方，非常感谢你的回复

[ll553664391]

请问你怎么修改的数据类别为自己的，我在项目里没找到修改的地方，非常感谢你的回复