Top 20 Image Datasets for Machine Learning and Computer Vision

Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do. Computer vision tasks include image acquisition, image processing, and image analysis. The image data can come in different forms, such as video sequences, view from multiple cameras at different angles, or multi-dimensional data from a medical scanner. Labelme: A large dataset created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) containing 187,240 images, 62,197 annotated images, and 658,992 labeled objects.