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---
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license: mit
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task_categories:
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- image-classification
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tags:
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- steganography
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- LSB
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pretty_name: Multilingual LSB Stego Dataset
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size_categories:
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- 100K<n<1M
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---
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# Multilingual LSB Stego Dataset
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## Dataset Summary
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This dataset contains **432,000 RGB images (~345 GB)** generated to study the detectability of **Least Significant Bit (LSB)** steganography under controlled, reproducible settings. It enables systematic analysis across **multiple resolutions, bit-depths, payload ratios, embedding policies, and languages**, and includes per-file metadata for deterministic message recovery.
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- **Total size:** ~345 GB
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- **Images:** 432,000
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- **Languages (payload):** EN, DE, ES, FR, IT, TR
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- **Resolutions:** 128×128, 256×256, 512×512, 1024×1024
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- **Bits per byte (LSB depth):** 1, 2, 4
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- **Payload ratios (of capacity):** 0.25, 0.50, ~1.00
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- **Embedding policies:** sequential, random (seeded)
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- **Metadata:** JSON for each stego image (original filename, message length, bpp, policy, seed, status)
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- **Deterministic header:** `flag | msg_len(32) | num_bits_code(2) | [seed(32)]` for exact extraction
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## Abstract
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TBA
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## Folder Structure
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```
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LSBStegoDataset/
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├── 128x128_en/ 256x256_en/ 512x512_en/ 1024x1024_en/
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├── 128x128_de/ 256x256_de/ 512x512_de/ 1024x1024_de/
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├── 128x128_es/ 256x256_es/ 512x512_es/ 1024x1024_es/
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├── 128x128_fr/ 256x256_fr/ 512x512_fr/ 1024x1024_fr/
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├── 128x128_it/ 256x256_it/ 512x512_it/ 1024x1024_it/
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└── 128x128_tr/ 256x256_tr/ 512x512_tr/ 1024x1024_tr/
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```
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Each leaf folder contains:
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- **Stego images** (as PNG)
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- **JSON metadata** for each stego image (embedding parameters & verification)
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- (Optionally) **histogram PNG/JSON** if generated
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## Usage
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```python
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from datasets import load_dataset
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# Load entire repository
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ds = load_dataset("emirozturk/LSBStegoDataset")
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# Load a specific subset/folder (example: 256x256 Turkish)
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ds_tr256 = load_dataset(
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"emirozturk/LSBStegoDataset",
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data_files="256x256_tr/*"
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)
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```
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## Typical Research Tasks
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- Detectability vs. payload × bpp × policy × language × resolution
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- Cross-lingual generalization of steganalysis models
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- Feature-level analyses of language-induced bit statistics
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## Citation
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If you use this dataset, please cite:
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```
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TBA
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```
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## License
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See the repository license for terms of use. |
