ash12321/sdxl-detector-resnet50
Image Classification
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End of preview. Expand
in Data Studio
SDXL Generated Images Dataset (10,000 images)
This dataset contains 10,000 AI-generated images created with Stable Diffusion XL for training an AI image detector.
Dataset Details
- Model: Stable Diffusion XL Base 1.0
- Total Images: 10,000
- Resolution: 1024×1024 pixels
- Format: JPEG (quality 95)
- Inference Steps: 10
- Guidance Scale: 7.0
- Random Seeds: Unique per image for maximum diversity
- Generation Date: 2025-12-30
Prompt Diversity
Images generated with diverse prompts covering:
- Portraits and people (various poses, expressions, settings)
- Landscapes (mountains, oceans, forests, etc.)
- Objects and still life
- Animals in natural habitats
- Food photography
- Architecture and buildings
- Various lighting conditions and styles
Usage
from datasets import load_dataset
# Load dataset
dataset = load_dataset("ash12321/sdxl-generated-10k")
# Access images
for example in dataset["train"]:
image = example["image"]
filename = example["filename"]
License
MIT License - Free for research and commercial use.
Related
- Detector Model: ash12321/sdxl-detector-resnet50
- Downloads last month
- 5
Size of downloaded dataset files:
3 GB
Size of the auto-converted Parquet files:
3 GB
Number of rows:
10,000
Models trained or fine-tuned on ash12321/sdxl-generated-10k