How do I access ImageNet?
Go to https://www.kaggle.com/c/imagenet-object-localization-challenge and click on the data tab. You can use the Kaggle API to download on a remote computer, or that page to download all the files you want directly. There, they provide both the labels and the image data.
How do I use ImageNet?
There are five steps to preparing the full ImageNet dataset for use by a Machine Learning model:
- Verify that you have space on the download target.
- Set up the target directories.
- Register on the ImageNet site and request download permission.
- Download the dataset to local disk or Compute Engine VM.
What is the ImageNet challenge?
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The challenge has been run annually from 2010 to present, attracting participation from more than fifty institutions.
Who built ImageNet?
Dr. Fei-Fei Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI.