|
|
| --- |
| license: mit |
| task_categories: |
| - image-classification |
| tags: |
| - deepfake-detection |
| - forensics |
| - real-estate |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 🏙️ GenAI Real Estate Test Set (Track B) |
|
|
| **Dataset for the MenaML Winter School 2026 Challenge.** |
|
|
| ## 📊 Dataset Structure |
| This dataset contains **1,000 images** split evenly between: |
| * **Authentic:** Real estate photography from the Places365 dataset. |
| * **Manipulated:** Synthetically generated deepfake artifacts (Inpainting, Diffusion Noise, GAN Grids). |
|
|
| ## 🕵️ How to Use |
| This dataset is designed for testing forensic detection models. |
|
|
|
|
