dog-qiuqiu / Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
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multiple target detection miss #73

Open LHyang9527 opened 1 year ago

LHyang9527 commented 1 year ago

YOLO target detection train own dataset, the dataset is a single image single target, the model for multiple target detection will miss detection. but single target is ok. Is it related to the lack of multi-target samples in the dataset?