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mir4oni3/
CarObjectDetection

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CarObjectDetection

Model Metrics

Dataset	Model File	box_loss(train)	cls_loss(train)	dfl_loss(train)	Precision (P)	Recall (R)	mAP50	mAP50-95	Train images	Time per epoch
TrafficDetectionProjectDataset	70_epochs.pt	0.5923	0.3237	0.8353	0.94	0.907	0.95	0.781	5 805	2 min
TrafficRoadObjectDetectionPolish12kDataset	40_epochs.pt	0.7864	0.4288	0.8576	0.833	0.704	0.765	0.464	10 500	4 min 30 sec
TrafficRoadObjectDetectionPolish12kDataset	50_epochs.pt	0.7074	0.3897	0.8429	0.838	0.7	0.767	0.477	10 500	4 min 30 sec
TrafficRoadObjectDetectionPolish12kDataset	60_epochs.pt	0.6371	0.355	0.8305	0.847	0.707	0.775	0.48	10 500	4 min 30 sec
TrafficRoadObjectDetectionPolish12kDataset	70_epochs.pt	0.5132	0.2903	0.8029	0.833	0.705	0.77	0.477	10 500	4 min 30 sec
Car Tracking & Object Detection Dataset	10_epochs.pt	0.4234	0.2882	0.7889	0.989	0.956	0.991	0.895	211	5 sec
Car Tracking & Object Detection Dataset	15_epochs.pt	0.4255	0.2868	0.7753	0.982	0.966	0.991	0.9	211	5 sec
Car Tracking & Object Detection Dataset	20_epochs.pt	0.3598	0.2403	0.7809	0.978	0.967	0.993	0.916	211	5 sec
26 Class Object detection dataset	15_epochs.pt	0.8517	0.5449	1.161	0.741	0.496	0.514	0.356	32 500	6 min 40 sec
Combined Augmented	10_epochs.pt	0.9908	0.6573	1.021	0.846	0.732	0.814	0.574	50 000	19 min
Combined	30_epochs.pt	0.9034	0.5393	0.9618	0.813	0.758	0.831	0.59	13 000	2 min 30 sec
Combined 7 Datasets	40_epochs.pt	0.9076	0.5293	0.9526	0.808	0.704	0.782	0.543	17 000	4 min
Combined 10 Datasets	40_epochs.pt	1.063	0.5994	1.029	0.814	0.69	0.779	0.529	29 000	6 min

Each subfolder in the models directory corresponds to a dataset, and each row in the table summarizes the metrics for a model checkpoint in that dataset.

mir4oni3/CarObjectDetection

CarObjectDetection

Model Metrics

mir4oni3/
CarObjectDetection