Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
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README.md
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dataset_summary: '
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 6991 samples.
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All I did was
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1. download the splits of this dataset from Hugging Face
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https://huggingface.co/datasets/fcakyon/pokemon-classification
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2. Imported them into FiftyOne using `ImageClassificationDirectoryTree`. See the file `pokemon2fo.py`
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3. Added tags to the dataset for each split
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4. Merged all the samples into one data set
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5. Pushed the data to Hugging Face Hub using FiftyOne `push_to_hub`. See the file fo2hub.py
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## Installation
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# Dataset Card for pokemon
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<!-- Provide a quick summary of the dataset. -->
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 6991 samples.
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## Installation
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dataset_summary: '
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## Installation
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# Dataset Card for pokemon
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 6991 samples.
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All I did was
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1. download the splits of this dataset from Hugging Face
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https://huggingface.co/datasets/fcakyon/pokemon-classification
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2. Imported them into FiftyOne using `ImageClassificationDirectoryTree`. See the file `pokemon2fo.py`
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3. Added tags to the dataset for each split
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4. Merged all the samples into one data set
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5. Pushed the data to Hugging Face Hub using FiftyOne `push_to_hub`. See the file fo2hub.py
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## Installation
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