zeeshan020dev/Plastic-Objects-Detection-System-DIP
AI-powered plastic object detection system using YOLO and Streamlit that identifies plastic waste from images and real-time webcam feeds to support smart recycling and environmental sustainability.
What's novel
AI-powered plastic object detection system using YOLO and Streamlit that identifies plastic waste from images and real-time webcam feeds to support smart recycling and environmental sustainability.
Code Analysis
3 files read · 2 roundsA Streamlit web app that wraps Ultralytics YOLO to detect plastic objects in uploaded images or live webcam frames, with a confidence threshold slider.
Strengths
The code is straightforward and readable for a simple demo, and the webcam loop with frame-by-frame detection is a reasonable pattern for real-time inference.
Weaknesses
The entire project is a thin wrapper around the ultralytics library with zero custom logic, no error handling for model loading or file validation, no real tests, and no modularity — all logic lives in a single 80-line script.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
13
Contributors
1
Files
10
Active weeks
5
Repository
Language
Python
Stars
1
Forks
0
License
—