Apple Leaf Disease Detection with YOLO V9 & CNN
Budget: ₹12,500 – ₹37,500 INR
I'm seeking a skilled computer vision and deep learning expert for an exciting project. The task involves using the YOLO V9 model to identify and mark diseased areas on apple leaves in a series of JPEG images. The marked images will then be fed into a Convolutional Neural Network (CNN) for disease classification.
Key responsibilities:
- Employ YOLO V9 to detect and label diseased areas on apple leaves with bounding boxes.
- Input the marked images into a CNN for disease classification.
- Classify various types of apple leaf diseases.
I have a fully-labeled dataset ready for this project. The ideal freelancer will have extensive experience with YOLO V9 and CNN, a strong background in computer vision, and a keen interest in agricultural technology. If you have prior experience in classifying plant diseases, that would be a significant advantage.
Key responsibilities:
- Employ YOLO V9 to detect and label diseased areas on apple leaves with bounding boxes.
- Input the marked images into a CNN for disease classification.
- Classify various types of apple leaf diseases.
I have a fully-labeled dataset ready for this project. The ideal freelancer will have extensive experience with YOLO V9 and CNN, a strong background in computer vision, and a keen interest in agricultural technology. If you have prior experience in classifying plant diseases, that would be a significant advantage.