🗑️ 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
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: 80 | Img: 640px | Batch: 8
- GPU: Kaggle Dual T4 | Mode: 6-hr max accuracy
Last updated: 2026-05-01 09:11 UTC