Fish Detection and fish count ML Model
Budget: $10 – $30 USD
I need a simple machine learning model to detect and count fish in video frames. The model should only identify the presence and number of fish — no need for species classification or tracking over time.
Requirements:
- Input: video file or live video stream
- Output:
- Bounding boxes around detected fish
- Total number of fish in each frame
- Only detect and count fish — no other objects or classifications
- Framework: YOLO preferred
Deliverables:
- Trained model file
- Python script that runs detection and displays video frames with bounding boxes and fish count
- Clear instructions to run the script on my machine
Ideal Skills and Experience:
- Proficiency with YOLO and object detection
- Strong background in machine learning and computer vision
- Experience with Python and video processing
Please keep the solution straightforward and focused on fish detection and counting.
https://abdulgaffar.vercel.app/
Requirements:
- Input: video file or live video stream
- Output:
- Bounding boxes around detected fish
- Total number of fish in each frame
- Only detect and count fish — no other objects or classifications
- Framework: YOLO preferred
Deliverables:
- Trained model file
- Python script that runs detection and displays video frames with bounding boxes and fish count
- Clear instructions to run the script on my machine
Ideal Skills and Experience:
- Proficiency with YOLO and object detection
- Strong background in machine learning and computer vision
- Experience with Python and video processing
Please keep the solution straightforward and focused on fish detection and counting.
https://abdulgaffar.vercel.app/
Related categories:
C Programming
Python
Software Architecture
Machine Learning (ML)
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