My first AI project Used AI
This is an Yolov8 object detection model which can distinguish between good and bad Mangoes
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This time I have created a dataset with 200 images. Haft of them are good mangoes and half are rotten/bad mangoes. It can now detect both good and bad mangoes but I am facing a problem as it now classifies an image as rotten which it detected as good before
I have to include more data in the datasheet
I have downloaded a dataset from kaggle which has many good and rotten fruits. I want my model to only detect good mangoes for the 1st time so I had used 100 good mango images and lebeled them using roboflow and trained the current model of mine from pretrained yolov8n.