GitHub - syed01-53/Vegetable-Disease-Detection-: This project aims to detect diseases in vegetables using YOLOv11, a state-of-the-art object detection model, and integrate it with a Flask web application. The system will capture live images from a webcam or IP camera, process them using the trained model, and display the detection results in real time.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
dataset		dataset
images		images
train		train
yolo_flask		yolo_flask
yolo_v8_		yolo_v8_
yolo_v8_webcam		yolo_v8_webcam
Train_YOLO_Models_(1).ipynb		Train_YOLO_Models_(1).ipynb
main.py		main.py
my_model.pt		my_model.pt
my_model.zip		my_model.zip
yolov8n.pt		yolov8n.pt

About

This project aims to detect diseases in vegetables using YOLOv11, a state-of-the-art object detection model, and integrate it with a Flask web application. The system will capture live images from a webcam or IP camera, process them using the trained model, and display the detection results in real time.

opencv flask customdataset yolo11