---
license: mit
---

# petrol-trained-v1

Fine-tuned **YOLOv8s** trained from scratch (COCO init) on **357 petrol-station
images** (yolo_high_confidence + filtered candidate_gt) for **120 epochs at
1280×1280** on an NVIDIA RTX A4000.

- Best val mAP@0.5 during training: **0.782** (epoch 114)
- Final val mAP@0.5: **0.7525**, mAP@0.5–0.95: **0.5586**
- 4 classes: petrol hose, petrol pump, price board, roof canopy
- ONNX FP16, **22.7 MB** (≤ 30 MB rule)
