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license: apache-2.0
tags:
- object-detection
- yolov9
- litter-detection
- waste-detection
- littercam
- computer-vision
datasets:
- taco
- openlittermap
base_model: yolov9-c
---
# 🗑️ LitterCam — YOLOv9-C Waste Detection (6-hr run)
Detects **10 classes of roadside litter** from CCTV/dashcam footage.
## 📦 Files
| File | Description |
|------|-------------|
| `best.pt` | ⭐ **Best mAP checkpoint** |
| `last.pt` | Latest epoch — resume training |
| `best.onnx` | ONNX FP16 for edge deployment |
## 🚀 Quick Inference
```python
from ultralytics import YOLO
model = YOLO("best.pt")
results = model("road.jpg", conf=0.35)
results[0].show()
```
## 🏷️ Classes
`cigarette_butt` · `plastic_bottle` · `drinks_can` · `fast_food_packaging`
`plastic_bag` · `coffee_cup` · `glass_bottle` · `paper_waste`
`food_wrapper` · `general_litter`
## ⚙️ Training
- **Arch:** YOLOv9-C | **Epochs:** 50 | **Img:** 640px | **Batch:** 16
- **GPU:** Kaggle Dual T4 | **Mode:** 6-hr max accuracy
*Last updated: 2026-05-02 14:34 UTC*
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