README.md

metadata

license: cc-by-4.0
task_categories:
  - image-classification
language:
  - en
tags:
  - camera
  - scene
  - classification
size_categories:
  - 10K<n<100K

CamSDD Dataset (Camera Scene Detection Dataset)

Overview

CamSDD is a large-scale image classification dataset designed for camera scene detection on smartphones and mobile devices. The dataset was introduced to support the development of efficient deep learning models capable of automatically recognizing common photography scenes in real time. It contains more than 11,000 images spanning 30 scene categories commonly encountered in mobile photography.

Associated Publication

This dataset was used in:

Ignatov, A., Malivenko, G., Timofte, R., Chen, S., Xia, X., Liu, Z., Zhang, Y., Zhu, F., Li, J., Xiao, X., Tian, Y., Wu, X., Kyrkou, C., et al. Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 2558-2568.

Statistics

Property	Value
Task	Camera Scene Classification
Classes	30
Images	11,000+
Data Type	RGB Images
Application Domain	Mobile Photography & Smartphone AI

Applications

• Camera Scene Detection
• Smartphone Photography Enhancement
• Mobile AI
• Edge AI
• Image Classification
• Efficient Deep Learning

Dataset Characteristics

• Manually collected and curated image dataset
• Represents common scenes encountered in smartphone photography
• Designed for deployment on resource-constrained devices
• Suitable for benchmarking lightweight CNN and Transformer models
• Used in the Mobile AI 2021 Camera Scene Detection Challenge【1-9aa7ee】【3-8df4a0】

Source

Project related publication:

https://openaccess.thecvf.com/content/CVPR2021W/MAI/html/Ignatov_Fast_and_Accurate_Quantized_Camera_Scene_Detection_on_Smartphones_Mobile_CVPRW_2021_paper.html

Original camera scene detection paper:

https://openaccess.thecvf.com/content/CVPR2021W/MAI/html/Pouget_Fast_and_Accurate_Camera_Scene_Detection_on_Smartphones_CVPRW_2021_paper.html

Citation

@inproceedings{ignatov2021camsddchallenge,
  title={Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report},
  author={Ignatov, Andrey and Malivenko, Grigory and Timofte, Radu and Chen, Sheng and Xia, Xin and Liu, Zhaoyan and Zhang, Yuwei and Zhu, Feng and Li, Jiashi and Xiao, Xuefeng and Tian, Yuan and Wu, Xinglong and Kyrkou, Christos and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  pages={2558--2568},
  year={2021}
}