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sfarrukhm/intel-image-classification

Intel Image Classification The Intel Image Classification dataset contains images of natural scenes categorized into six classes: Buildings Forest Glacier Mountain Sea Street 📆 Content The dataset contains ~25,000 images of size 150x150 pixels. Images are evenly distributed across 6 categories: {'buildings' -> 0, 'forest' -> 1, 'glacier' -> 2, 'mountain' -> 3, 'sea' -> 4, 'street' -> 5 } It is divided into three parts: Training… See the full description on the dataset page: https://huggingface.co/datasets/sfarrukhm/intel-image-classification.

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Dataset Card

Intel Image Classification

The Intel Image Classification dataset contains images of natural scenes categorized into six classes:

—Buildings

—Forest

—Glacier

—Mountain

—Sea

—Street

📆 Content

—The dataset contains ~25,000 images of size 150x150 pixels.

—Images are evenly distributed across 6 categories:

  {'buildings' -> 0,
   'forest'    -> 1,
   'glacier'   -> 2,
   'mountain'  -> 3,
   'sea'       -> 4,
   'street'    -> 5 }

—It is divided into three parts:

—Training set: ~14,000 images

—Test set: ~3,000 images

—Prediction set: ~7,000 images

The train, test, and prediction images are stored in separate folders.

🧪 Structure

data/
├── seg_train/
│   ├── buildings/
│   ├── forest/
│   ├── glacier/
│   ├── mountain/
│   ├── sea/
│   └── street/
├── seg_test/
│   └── ...
└── seg_pred/
    └── ...

🔗 Source & Acknowledgements

—Originally published by Intel as part of a challenge on Analytics Vidhya: https://datahack.analyticsvidhya.com

—Rehosted on Kaggle: Intel Image Classification | Kaggle

💻 Usage

You can load this dataset using Hugging Face's datasets library:

python

from datasets import load_dataset

dataset = load_dataset("sfarrukhm/intel-image-classification")