Advanced Smoke Detection Using YOLO-NAS
Budget: $30 – $250 AUD
I am looking for a highly skilled and experienced coder in using YOLO8 or YOLO-NAS to help detect smoke in a video. The sample video to be analyzed is attached.
Key Responsibilities:
- Implement smoke detection in my video with high precision leveraging YOLO-NAS (8).
- Enhance the algorithm to perform effectively regardless of the video provided.
- Ensure high accuracy of smoke detection.
Ideal Candidate Skills and Experience:
- Proficiency in using YOLO8 or YOLO-NAS for object detection
- Extensive experience in image or video analysis
- Demonstrable successful projects in detection or similar task
- Strong analytical capabilities to diagnose and address accuracy issues
The underlying objective behind this smoke detection is not clarified yet, but ensuring high accuracy is paramount to the success of this project. Therefore, the perfect candidate preferably had worked on projects for fire prevention or early warning systems that required similar high-precision detection criteria.
- Please provide the resulting detection video with probabilities on screen.
-Please provide all code and libraries required.
- Please specify training data used.
(Do not use the video provided as we have many samples to run through the detection).
Key Responsibilities:
- Implement smoke detection in my video with high precision leveraging YOLO-NAS (8).
- Enhance the algorithm to perform effectively regardless of the video provided.
- Ensure high accuracy of smoke detection.
Ideal Candidate Skills and Experience:
- Proficiency in using YOLO8 or YOLO-NAS for object detection
- Extensive experience in image or video analysis
- Demonstrable successful projects in detection or similar task
- Strong analytical capabilities to diagnose and address accuracy issues
The underlying objective behind this smoke detection is not clarified yet, but ensuring high accuracy is paramount to the success of this project. Therefore, the perfect candidate preferably had worked on projects for fire prevention or early warning systems that required similar high-precision detection criteria.
- Please provide the resulting detection video with probabilities on screen.
-Please provide all code and libraries required.
- Please specify training data used.
(Do not use the video provided as we have many samples to run through the detection).