Parveshiiii/AI-vs-Real
🖼️ AI-vs-Real Dataset A balanced dataset for AI-generated vs Real image classification.This dataset is designed to help researchers, developers, and practitioners build and evaluate models that can distinguish between synthetic (AI-generated) and authentic (human-captured) images. 📊 Dataset Overview Classes: 0 → AI-generated images 1 → Real (human-captured) images Balance:The dataset is properly balanced across both classes.This ensures that… See the full description on the dataset page: https://huggingface.co/datasets/Parveshiiii/AI-vs-Real.
| Author / organization | Parveshiiii |
|---|---|
| License (as declared) | mit |
| Downloads | 425 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 24 September 2025 |
| Last updated at source | 25 September 2025 |
Popularity, last 3 days
425 now (+16 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Modotte/AIRealNetModel · used to train
Recent changes
- 16 Oct 2026 Description: 🖼️ AI-vs-Real Dataset A balanced dataset for AI-generated vs Real image classification.This dataset is designed to help researchers, developers, and practitioners build and evaluate models that can distinguish between synthetic (AI-generat → 🖼️ AI-vs-Real Dataset A balanced dataset for AI-generated vs Real image classification.This dataset is designed to help researchers, developers, and practitioners build and evaluate models that can distinguish between synthetic (AI-generat
Changes detected by Silytics between refreshes of the source.
More from Parveshiiii
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.