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waste-classification-yolov8-ken
kendrickfff/waste-classification-yolov8-ken
waste-classification-yolov8-ken is a object detection model from kendrickfff. Use it when you need objects located in an image. The card lists the license as cc-by-4.0.
This is a YOLOv8-based object detection model trained to classify and detect various types of waste materials. It can help in automating smart waste segregation, improving recycling processes, and contributing to envi…
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Updated Jun 3, 2025
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At a glance
- Task
- Object Detection
- License
- cc-by-4.0
- Access
- Public
- Created
- Jun 3, 2025
- Updated
- Jun 3, 2025
- SHA
- 0bf64a69
Base models
Model card
From the Hugging Face model README
🚮 Waste Classification YOLOv8 (Kendrick's Model v1)
This is a YOLOv8-based object detection model trained to classify and detect various types of waste materials. It can help in automating smart waste segregation, improving recycling processes, and contributing to environmental sustainability.
📂 Classes Detected
The model was trained to recognize 12 waste categories:
batterybiologicalbrown-glasscardboardclothesgreen-glassmetalpaperplasticshoestrashwhite-glass
📊 Training Details
- Model: YOLOv8
- Dataset: Custom dataset structured with
train/,valid/, andtest/folders - Image Size: 640x640
- Epochs: 30
- Batch Size: 16
- Framework: Ultralytics YOLOv8 (PyTorch-based)
- Hardware: Trained using GPU A100 on Google Colab
🚀 How to Use
Install Ultralytics:
from ultralytics import YOLO
# Load the model from Hugging Face
model = YOLO("kendrickfff/waste-classification-yolov8-ken")
# Run inference on an image
results = model("path/to/image.jpg")
# Show results
results.show()
- Task
- Object Detection
- License
- cc-by-4.0
- Languages
- en
- Created
- Jun 3, 2025
- Updated
- Jun 3, 2025