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# Dataset Card for ImageNet (ILSVRC2012) |
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<!-- Provide a quick summary of the dataset. --> |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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ImageNet (ILSVRC2012) is a large-scale dataset for visual recognition, consisting of 1,281,167 training images and 50,000 validation images across 1,000 object categories. The dataset was designed to facilitate large-scale image classification and object detection research. |
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### Dataset Sources |
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<!-- Provide the basic links for the dataset. --> |
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- **Homepage:** https://www.image-net.org/challenges/LSVRC/2012/index.php |
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- **Paper:** Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., ... & Fei-Fei, L. (2015). Imagenet large scale visual recognition challenge. International journal of computer vision, 115, 211-252. |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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Total images: 1,331,167 |
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Classes: 1000 categories |
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Splits: |
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- **Train:** 1,281,167 images |
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- **Validation:** 50,000 images |
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Image specs: Variable resolution, RGB |
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## Example Usage |
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Below is a quick example of how to load this dataset via the Hugging Face Datasets library. |
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``` |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("randall-lab/imagenet", split="train", trust_remote_code=True) |
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# dataset = load_dataset("randall-lab/imagenet", split="validation", trust_remote_code=True) |
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# Access a sample from the dataset |
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example = dataset[0] |
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image = example["image"] |
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label = example["label"] |
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image.show() # Display the image |
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print(f"Label: {label}") |
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``` |
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## Citation |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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@article{russakovsky2015imagenet, |
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title={Imagenet large scale visual recognition challenge}, |
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author={Russakovsky, Olga and Deng, Jia and Su, Hao and Krause, Jonathan and Satheesh, Sanjeev and Ma, Sean and Huang, Zhiheng and Karpathy, Andrej and Khosla, Aditya and Bernstein, Michael and others}, |
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journal={International journal of computer vision}, |
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volume={115}, |
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pages={211--252}, |
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year={2015}, |
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publisher={Springer} |
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} |
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