Known as the de-facto image dataset for CV algorithms, ImageNet is a large image database of various quality-controlled and human annotated object images that aims to support Computer Vision researchers and practitioners with the need of more data. This dataset contains about 14M images and 1M of it are annotated with Bounding Boxes. ImageNet is a collaboration project between Stanford Vision and Princeton University.