Video Data Extraction Pipeline -- 2
Budget: $1,500 – $3,000 USD
I need a robust data extraction pipeline to pull information from videos. The primary task involves using computer vision to identify specific icons and numbers within the video content. The extracted data should be organized and delivered in CSV format.
Key Requirements:
- Develop a computer vision model to accurately detect and extract icons and numbers from videos.
- Ensure the solution is scalable, intelligent and can handle very large volumes of video data.
- Output the extracted data in CSV format.
Ideal Skills & Experience:
- Proficiency in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch)
- Strong programming skills, preferably in Python
- Experience with data extraction and processing
- Familiarity with handling video data
- Ability to create scalable and efficient data pipelines
- Experience with League of Legends/MOBAs in general.
Key Requirements:
- Develop a computer vision model to accurately detect and extract icons and numbers from videos.
- Ensure the solution is scalable, intelligent and can handle very large volumes of video data.
- Output the extracted data in CSV format.
Ideal Skills & Experience:
- Proficiency in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch)
- Strong programming skills, preferably in Python
- Experience with data extraction and processing
- Familiarity with handling video data
- Ability to create scalable and efficient data pipelines
- Experience with League of Legends/MOBAs in general.