Comments (4)
Obviously overfitting. You may need validation to early stop your training.
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Obviously overfitting. You may need validation to early stop your training
Thank you very much. I'll try.
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Hi @huyu6789 , I know this is the datasets of "智箭" ; ) What is your score are you achieving using this repo?
from bbavectors-oriented-object-detection.
Obviously overfitting. You may need validation to early stop your training
Thank you very much. I'll try.
您好,我在用您开源的这个模型训练完自己的数据集之后进行测试,发现了一个奇怪的现象:预测目标的置信度普遍很低,分布大概在0.2到0.4左右,然后很多目标都具有完全重叠(检测框的坐标一模一样)的检测框,而完全重叠的这些框显示的类别却不一样,请问这种现象您觉得会是什么原因造成的呢?面对这种情况,请问能给一些建议吗?
ps:目前的做过的第一个尝试是根据置信度来筛选检测框(判定条件为若有完全重叠的检测框,选择置信度最高的那一个),而这样做的结果并不理想,甚至准确度会下降很多;第二个尝试是提高检测的阈值conf_thresh到0.25甚至0.3,但就如前面提到过的那样,预测目标的置信度普遍很低,这样做的结果就会导致许多目标检测不出来。测试情况:数据集大概为2700张图片,没有做数据增强,训练了大概800个epoch(我觉得已经足够多了哈哈),每张图片分辨率为1024x1024.
你好,请问输出您这样类型的结果,执行的那一条命令?
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Related Issues (20)
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- ModuleNotFoundError: No module named 'dota_kit' HOT 3
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- 环境搭建
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