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| license: mit |
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| # ImageNet-1k Individual Class Datasets Hub |
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| This dataset serves as a central hub and index for the **1,000 individual class datasets** derived from the original `imagenet-1k` dataset. Each class has been separated into its own repository for easy access and analysis. |
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| This repository does not contain any images itself. Instead, it provides a `class_mapping.csv` file that maps each class ID and name to its corresponding dataset repository on the Hugging Face Hub. |
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| ## How to Use |
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| The intended workflow is to use this repository to find the `repo_id` for a class you are interested in, and then load that specific dataset. |
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| ### 1. Load the Class Mapping File |
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| First, load the `class_mapping.csv` file from this repository. You can do this directly using `pandas`. |
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| ```python |
| import pandas as pd |
| from datasets import load_dataset |
| |
| # Load the mapping file from the Hub |
| mapping_csv_url = "[https://huggingface.co/datasets/](https://huggingface.co/datasets/)mlnomad/imagenet1k_classes/resolve/main/class_mapping.csv" |
| class_df = pd.read_csv(mapping_csv_url) |
| |
| print("Class mapping loaded. Here's a preview:") |
| print(class_df.head()) |
| ``` |
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| ### 2. Find and Load a Specific Class Dataset |
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| Once you have the `class_df` DataFrame, you can easily find the repository for any class and load it using `datasets.load_dataset`. |
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| #### Example: Loading the 'goldfish' class |
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| ```python |
| # Find the entry for 'goldfish' |
| # The class names can be long, so we use .str.contains() for a flexible search |
| goldfish_entry = class_df[class_df['class_name'].str.contains("goldfish", case=False)] |
| |
| if not goldfish_entry.empty: |
| # Get the repo_id from the DataFrame |
| goldfish_repo_id = goldfish_entry.iloc[0]['repo_id'] |
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| print(f"Found 'goldfish' dataset at: {goldfish_repo_id}") |
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| # Load the actual dataset containing the images |
| print("Loading dataset...") |
| goldfish_dataset = load_dataset(goldfish_repo_id) |
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| print("\nSuccessfully loaded!") |
| print(goldfish_dataset) |
| |
| # You can now access the images |
| # example_image = goldfish_dataset['train'][0]['image'] |
| # example_image.show() |
| else: |
| print("Could not find the 'goldfish' class.") |
| |
| ``` |
|
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| ## Class Mapping Preview (`class_mapping.csv`) |
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| Here are the first 10 entries in the mapping file: |
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| ``` |
| | class_id | class_name | repo_id | |
| |-----------:|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------| |
| | 0 | tench, Tinca tinca | mlnomad/imnet1k_tench_Tinca_tinca | |
| | 1 | goldfish, Carassius auratus | mlnomad/imnet1k_goldfish_Carassius_auratus | |
| | 2 | great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias | mlnomad/imnet1k_great_white_shark_white_shark_man-eater_man-eating_shark_Carcharodon_carcharias | |
| | 3 | tiger shark, Galeocerdo cuvieri | mlnomad/imnet1k_tiger_shark_Galeocerdo_cuvieri | |
| | 4 | hammerhead, hammerhead shark | mlnomad/imnet1k_hammerhead_hammerhead_shark | |
| | 5 | electric ray, crampfish, numbfish, torpedo | mlnomad/imnet1k_electric_ray_crampfish_numbfish_torpedo | |
| | 6 | stingray | mlnomad/imnet1k_stingray | |
| | 7 | cock | mlnomad/imnet1k_cock | |
| | 8 | hen | mlnomad/imnet1k_hen | |
| | 9 | ostrich, Struthio camelus | mlnomad/imnet1k_ostrich_Struthio_camelus | |
| ``` |
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