Table 2 Comparative experimental results of the algorithms on the food freezer warehouses dataset.
From: Lightweight object detection model for food freezer warehouses
Model | Epochs | Params | FLOPs | mAP@0.5 | mAP@0.5: 0.95 |
|---|---|---|---|---|---|
YOLOv5n | 300 | 2.50 | 7.2 | 0.914 | 0.685 |
YOLOv6n | 300 | 4.23 | 11.8 | 0.915 | 0.696 |
YOLOv7-Tiny | 300 | 6.02 | 13.2 | 0.915 | 0.647 |
RTMDet-Tiny | 100 | 4.87 | 8.0 | 0.895 | 0.669 |
YOLOX-Tiny | 100 | 5.03 | 3.2 | 0.841 | 0.523 |
YOLOv8n | 300 | 3.0 | 8.1 | 0.914 | 0.693 |
Ours | 300 | 2.65 | 7.3 | 0.928 | 0.732 |
