Apple Leaf Disease Detection & Classification
Budget: ₹12,500 – ₹37,500 INR
I'm seeking a skilled professional to help with a project that involves detecting diseased areas on apple leaves using Yolo V9, marking them with bounding boxes, and subsequently feeding the output into a CNN algorithm for disease classification.
Key Tasks:
- Utilize provided high-resolution images to identify and mark diseased areas on apple leaves.
- Implement a CNN algorithm to classify the marked diseased areas into 1-3 possible disease types.
You will be provided with fully labeled datasets for both the YOLO and CNN algorithms, so there will be no need for additional data labeling.
Ideal Skills and Experience:
- Proficiency in using Yolo V9 for object detection
- Experience with CNN algorithms for classification
- Familiarity with image processing and analysis
- Ability to work with high-resolution images
Your expertise will help in accurately detecting and classifying diseases, ultimately contributing to the health monitoring of apple crops.
Key Tasks:
- Utilize provided high-resolution images to identify and mark diseased areas on apple leaves.
- Implement a CNN algorithm to classify the marked diseased areas into 1-3 possible disease types.
You will be provided with fully labeled datasets for both the YOLO and CNN algorithms, so there will be no need for additional data labeling.
Ideal Skills and Experience:
- Proficiency in using Yolo V9 for object detection
- Experience with CNN algorithms for classification
- Familiarity with image processing and analysis
- Ability to work with high-resolution images
Your expertise will help in accurately detecting and classifying diseases, ultimately contributing to the health monitoring of apple crops.