Fruit Sizing App

The previously transformed apple bin images were now fed into a machine learning based object detection algorithm to fit masks and bounding boxes around individual apples within the image. Next,…

We proved that we could find apples in apple bin images and fit boxes/masks to them to output pixel measurements of the detected fruit. The next step was to devise…

Once we had proved that apples could be successfully detected using a pre-trained data-set and acquired enough custom data, a second object detector was built. Instead of making predictions based…

Yes, we made it! We built the very first apple-size-detector using a pre-trained model (involving the COCO dataset), that already knew how to recognize simple objects.   How did we…

Machine Learning requires a large amount of data to be input to the system in order for it to learn what is correct/incorrect output. In other words: our system needs…

Soon we will enable growers to determine the size distribution of fruit in a bin - only a mobile photo will be needed!