Downloads · 30 days
0
littercamv2X
aryanshh/littercamv2X
littercamv2X is a object detection model from aryanshh. Use it when you need objects located in an image. The card lists the license as apache-2.0.
Detects 10 classes of roadside litter from CCTV/dashcam footage.
Access
Public
Updated May 2, 2026
Repo size
820 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt820 MB · 100%
At a glance
- Task
- Object Detection
- License
- apache-2.0
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- e060d98f
Base models
Datasets
Model card
From the Hugging Face model README
🗑️ 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: 100 | Img: 640px | Batch: 16
- GPU: Kaggle Dual T4 | Mode: 6-hr max accuracy
Last updated: 2026-05-02 12:10 UTC
- Task
- Object Detection
- License
- apache-2.0
- Created
- May 2, 2026
- Updated
- May 2, 2026