https://github.com/ellisbrown/in100

Python script for generating an ImageNet-100 subset using symlinks to an existing ImageNet installation.
https://github.com/ellisbrown/in100

computer-vision dataset-generation deep-learning imagenet

Last synced: about 2 months ago
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Python script for generating an ImageNet-100 subset using symlinks to an existing ImageNet installation.

• Host: GitHub
• URL: https://github.com/ellisbrown/in100
• Owner: ellisbrown
• Created: 2023-03-18T07:10:53.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-18T09:45:45.000Z (almost 2 years ago)
• Last Synced: 2023-08-03T05:11:13.836Z (over 1 year ago)
• Topics: computer-vision, dataset-generation, deep-learning, imagenet
• Language: Python
• Homepage:
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# ImageNet-100 dataset generator

Creates an ImageNet-100 dataset using the randomly selected 100 classes  of ImageNet from [Tian (2020)](https://arxiv.org/abs/1906.05849).

Symlinks the relevant folders from the ImageNet-1K dataset into a new

ImageNet-100 dataset folder. No need to duplicate the data.

Original source:

https://github.com/danielchyeh/ImageNet-100-Pytorch

## Usage

```bash

python generate_imagenet_IN100.py \

    --imagenet_root /path/to/imagenet \

    --IN100_path /path/to/IN100 \

    --class_file /path/to/IN100/IN100.txt

```