Plastic detection in river using yolo5

Job ID: 36847768

Budget: ₹1,500 – ₹12,500 INR

Project Description: Plastic detection in river using yolo5

- Desired Outcome: The project aims to detect plastic in real-time in both lab and real-world conditions.
- Accuracy Requirement: The detection system must have an accuracy of 90% or more.
- Environment: The system will be used in both controlled lab settings and actual rivers with varying conditions.

Ideal Skills and Experience:

- Experience with computer vision and object detection algorithms, specifically YOLO5.
- Proficiency in real-time image processing and analysis.
- Familiarity with working in both lab and real-world environments.
- Strong programming skills, preferably in Python.
- Knowledge of machine learning and training models for accurate plastic detection.
- Ability to troubleshoot and optimize the detection system for varying conditions.
- Attention to detail and ability to work with large datasets for accurate identification of different types of plastic.
- Strong problem-solving skills and ability to meet the accuracy requirements set by the client.

Note: A portfolio showcasing previous projects related to plastic detection, computer vision, and object detection will be highly regarded.