README.md

metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en
tags:
  - CyberForensics
  - SourceCameraIdentification
pretty_name: Source Camera Identification Mobile Device

📸SCIMD-17 (Source Camera Identification — Mobile Devices 17) is an extended version of SCIMD-6, which originally contained images from 6 mobile devices. This version expands the dataset to 17 smartphone models and ~17,000 real-world images, enabling more comprehensive research in camera model identification, image forensics, and cross-device generalization. Images were collected under varied indoor and outdoor scenes using multiple mobile phone brands to ensure cross-device diversity. The dataset aims to support studies in source camera attribution, cross-device generalization, and mobile imaging behavior.

🧠 Dataset Summary SCIMD-17 (Smartphone Camera Image Metadata Dataset) is a large-scale dataset containing 17,000 mobile images captured using 17 different smartphone models. This dataset supports research in camera identification, mobile image forensics, image quality analysis, and vision-language model training.

📊 Data Composition Attribute Description Total images ≈17,000 Devices 17 smartphone types Image type Real photos captured in natural scenes Format JPEG Metadata Make, filename, White Balance, Focal Length, Flash, Model, Date Time Original, Exposure time, ISO Speed Ratings, Exif Offset, Date Time

Use cases Camera model recognition, forensic analysis, cross-device generalization 🆚 Compared to SCIMD-6 • Devices: ↑ from 6 → 17 • Images: ↑ from ~6 k → ~17 k • Added new brands and lighting conditions • More balanced per-device sampling

🔬 Research Applications • Smartphone camera model identification • Scene-independent mobile image analysis • Vision-language pre-training (e.g., image captioning or VQA based on EXIF/device clues) • Benchmarking model robustness across devices

🧪 Dataset Collection Methodology The SCIMD-17 (Source Camera Identification — Mobile Devices 17) dataset was collected to represent real-world smartphone imaging conditions without any laboratory or controlled setup. Images were captured casually in both indoor and outdoor environments, using natural lighting and varied scenes to simulate authentic usage patterns. Data collection was conducted primarily within the Bapatla Engineering College campus, including classrooms, corridors, and open areas, as well as in residential locations such as houses and surrounding environments. No artificial constraints were imposed on lighting, focus, or scene content, ensuring natural variation typical of everyday photography. All images were captured manually by volunteers using 17 different smartphone models, listed below: 📱 Smartphone Models Used 📱 Xiaomi_M2101K6P 📱 Infinix_Note40_Pro 📱 IQZ9X_5G_224 📱 MotoG45_5G 📱 MotoG64_5G 📱 MotoG85_5G 📱 Nothing_A001 📱 Nothing_Phone1 📱 Oneplus_Nord_C3lite 📱 Realme_6i 📱 Realme8_Pro 📱 redmi_9_prime224 📱 Redmi14C_5G 📱 SamsungM13_5G 📱 Vivo_V50_5G 📱 VivoT1_5G 📱 VivoY56_5G Captured images were subsequently pre processed to a uniform resolution of 224 × 224 pixels to ensure compatibility with deep learning and vision-language model architectures.

No additional filtering or enhancement was applied beyond resizing, preserving the natural characteristics of each device’s imaging pipeline. This casual, real-world collection strategy ensures that SCIMD-17 reflects genuine variations in smartphone imaging behavior, making it highly suitable for camera model identification, source attribution, and cross-device generalization studies.

📂 Dataset File Description SCIMD-17.zip file contains 17 folders and each folder contains images captured by the corresponding mobile phone (folder name). 🧾 merged_common17.csv This file contains the EXIF metadata and device information corresponding to all ~17,000 images in the SCIMD-17 (Source Camera Identification — Mobile Devices 17) dataset. Each row represents one image entry, describing its camera parameters and capture details. File name: merged_common17.csv Format: Comma-Separated Values (CSV) Number of entries: ≈17,000 🧩 Column Descriptions Column Name Description FNumber: Camera aperture value used during image capture. Make Smartphone brand or manufacturer (e.g., vivo, realme, samsung). filename Image file name corresponding to this record. WhiteBalance White balance mode used during capture (0 = Auto, 1 = Manual). FocalLength Camera focal length in millimeters. Flash Flash mode or status during capture. Model Full smartphone model name (e.g., vivo V50, Realme8_Pro). DateTimeOriginal Original date and time when the photo was taken. DateTimeDigitized Date and time when the digital image file was created. ExposureTime Exposure duration in seconds (e.g., 0.001349). ISOSpeedRatings ISO sensitivity value used by the device. ExifOffset Offset pointer to EXIF metadata block in the image file. DateTime General timestamp combining date and time metadata.

🧠 Purpose This CSV file serves as the metadata index for SCIMD-17, enabling: • Source camera identification and device classification tasks, • Forensic analysis of imaging parameters, • Cross-device feature correlation studies, and • Vision-language model training using image metadata as auxiliary information.

👥Dataset Contributors 🧠 Data Curators Faculty Members, Dept of ECE, Bapatla Engineering College, Bapatla-522102. 🧩 Dr. Chandra Mohan Bhuma 🧩 Dr.CH.V.M.S.N. Pavan Kumar (0000-0002-4354-4185) 🧩 Dr.Ch.Nagaraju (0000-0001-9909-3849) 🧩 P.Madhu Kumar (0000-0003-2889-6059) 🧩 V S Sri harsha kasukurthy (0009-0005-5000-8224)

👥 Dataset Collectors UG (B.Tech) Students, Dept of ECE, Bapatla Engineering College, Bapatla-522102. 👨‍💻 Daggumalli Vamsi — vamsidaggumalli1810@gmail.com 👨‍💻 Degala Rupesh Karthikeya — rupeshkarthikeya@gmail.com 👨‍💻 Burri Guru Prasad — guruprasad.burri@gmail.com 👨‍💻 V. Venkata Shiva Kumar — sivakumarvallapuneni@gmail.com 👨‍💻 Thulava Vamsi — thulavamsi99@gmail.com 👨‍💻 Pilli Harsha Vardhan — harshavardhan202004@gmail.com

📜 Citation Bhuma, C. M., CH.V.M.S.N., P. K., Challa, N., Madhu kumar, . patnala ., & V S Sri harsha Kasukurthy. (2025). SCIMD-17 (Source Camera Identification — Mobile Devices 17) (Version 1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17317613