ImageNet Large Scale Visual Recognition Challenge 2017 (ILSVRC2017)
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Olga Russakovsky*, Jia Deng*, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei. (* = equal contribution) ImageNet Large Scale Visual Recognition Challenge. arXiv:1409.0575, 2014.
paper |
bibtex
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Please be sure to consult the included readme.txt file for competition details. Additionally, the development kit includes
- Overview and statistics of the data.
- Meta data for the competition categories.
- Matlab routines for evaluating submissions.
This dataset is unchanged since ILSVRC2012. There are a total of 1,281,167 images for training. The number of images for each synset (category) ranges from 732 to 1300. There are 50,000 validation images, with 50 images per synset. There are 100,000 test images. All images are in JPEG format.
DET dataset. 55GB. MD5: 237b95a860e9637b6a27683268cb305a
The dataset is unchanged from ILSVRC2016. There are a total of 456567 images for training. The number of positive images for each synset (category) ranges from 461 to 67513. The number of negative images ranges from 42945 to 70626 per synset. There are 20121 validation images and 60000 test images. All images are in JPEG format.
DET test dataset(new). 428MB. MD5: e9c3df2aa1920749a7ec35d1847280c6
Please download from here.
Taster challenges with amazon bin image dataset
Please download from here.
Terms of use: by downloading the image data from the above URLs, you agree to the following terms: