Image recognition/classification with Computer Vision
CIFAR-10 is an established computer-vision dataset used for object recognition. It is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class. It was collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. Here I have designed a system to test your own image file from disk to recognise the object from the image from the 10 classes
Image recognition/classification with Computer Vision