ImageNet-1K

The ImageNet1K dataset, also known as ILSVRC 2012, is a subset of the larger ImageNet dataset. It is commonly used for pretraining deep learning models for computer vision tasks. Here are some key details about the ImageNet1K dataset: 1. It spans 1000 object classes. 2. It contains 1,281,167 training images, 50,000 validation images, and 100,000 test images. 3. The images in the dataset are organized according to the WordNet hierarchy. 4. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a “synonym set” or “synset”. ImageNet aims to provide on average 1000 images to illustrate each synset. 5. The images of each concept are quality-controlled and human-annotated.