README.md

---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- Scene-Detection
- buildings
- forest
- glacier
- mountain
- sea
- street
- climate
size_categories:
- 10K<n<100K
---

# OpenScene-Classification Dataset

A high-quality image classification dataset curated for **scene detection tasks**, particularly useful in training and evaluating models for recognizing various natural and man-made environments.

## Dataset Summary

The **OpenScene-Classification** dataset contains labeled images categorized into six distinct scene types:

- `buildings`
- `forest`
- `glacier`
- `mountain`
- `sea`
- `street`

This dataset is structured for supervised image classification, suitable for deep learning models aiming to identify and classify real-world scenes.

## Dataset Structure

- **Split:** `train` (currently only one split)
- **Format:** `parquet`
- **Modality:** `Image`
- **Labels Type:** Integer class indices with corresponding string names
- **License:** Apache-2.0

Each entry in the dataset includes:
- `image`: the image of the scene
- `label`: the class index (e.g., 0 for buildings)
- `label_name`: the class name (e.g., "buildings")

> Note: The dataset viewer on Hugging Face may take a moment to load all samples.

## Label Mapping

| Class Index | Label      |
|-------------|------------|
| 0           | buildings  |
| 1           | forest     |
| 2           | glacier    |
| 3           | mountain   |
| 4           | sea        |
| 5           | street     |

## Dataset Stats

- **Size**: 10K - 100K images
- **Language**: English (tags, metadata)
- **Tags**: `Scene-Detection`, `buildings`, `forest`, `glacier`, `mountain`, `sea`, `street`

## Intended Use

This dataset is ideal for:
- Scene classification model training
- Benchmarking computer vision algorithms
- Educational purposes in machine learning and AI