Fruit Detection Using YOLOv8
Budget: $29 – $30 USD
I need a Computer Vision Engineer to assist with high-accuracy fruit detection on still images.
- Detect fruit type: The model should be able to differentiate between various fruit types such as apples, bananas, and oranges.
- Focus on indoor use: The system will primarily be used in indoor environments, so the model should be optimized for this setting.
- Analysis of still images: The system will be primarily analyzing still images, not video footage.
Ideal skills and experience for this job:
- Proven experience in computer vision and object detection, ideally with YOLOv8.
- Strong understanding of neural network architectures.
- Experience with fine-tuning models for specific use cases.
- Familiarity with training on large datasets.
- Detect fruit type: The model should be able to differentiate between various fruit types such as apples, bananas, and oranges.
- Focus on indoor use: The system will primarily be used in indoor environments, so the model should be optimized for this setting.
- Analysis of still images: The system will be primarily analyzing still images, not video footage.
Ideal skills and experience for this job:
- Proven experience in computer vision and object detection, ideally with YOLOv8.
- Strong understanding of neural network architectures.
- Experience with fine-tuning models for specific use cases.
- Familiarity with training on large datasets.
Related categories:
Matlab and Mathematica
Statistics
Machine Learning (ML)
Data Mining
Network Administration