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