Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
License:
File size: 1,693 Bytes
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---
license: other
task_categories:
- image-classification
language:
- en
pretty_name: Intel Image Classification
size_categories:
- 10K<n<100K
---
# 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](https://datahack.analyticsvidhya.com/)
- Rehosted on Kaggle:
[Intel Image Classification | Kaggle](https://www.kaggle.com/datasets/puneet6060/intel-image-classification)
---
## 💻 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")
``` |