00200200/Video-Waste-Dumping-Detection---IWDD
Video classification pipeline for illegal waste dumping detection using VideoMAE and X-CLIP (IWDD Contest).
- Stars
- 52
- Forks
- 2
- Open issues
- 1
- Last push
- 4mo ago
Video-Waste-Dumping-Detection---IWDD star history
+0 this week
About Video-Waste-Dumping-Detection---IWDD
Video-Waste-Dumping-Detection---IWDD is a free, open-source computer vision tool by 00200200, written mainly in Jupyter Notebook. Video classification pipeline for illegal waste dumping detection using VideoMAE and X-CLIP (IWDD Contest). It has 52 GitHub stars and 2 forks, and was last updated 4mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.
- License
- Not detected
- Commercial use
- No license
- Language
- Jupyter Notebook
- Stars
- 52
- Last update
- 4mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Video-Waste-Dumping-Detection---IWDD FAQ
Can I use Video-Waste-Dumping-Detection---IWDD commercially?
Unclear. No license was detected, which legally means all rights are reserved. Ask the author before using it commercially. This is a plain-English summary, not legal advice.
Is Video-Waste-Dumping-Detection---IWDD free?
Yes. Video-Waste-Dumping-Detection---IWDD is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does Video-Waste-Dumping-Detection---IWDD run on a Mac?
Yes. According to the project, Video-Waste-Dumping-Detection---IWDD works on macOS.
Does Video-Waste-Dumping-Detection---IWDD need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Video-Waste-Dumping-Detection---IWDD still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Video-Waste-Dumping-Detection---IWDD?
Similar free, open-source tools include ultralytics, yolov5, vit-pytorch, supervision.
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