mdefrance/yolos-base-signature-detection
object-detection model by mdefrance
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Model card & documentation
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YOLOS model finetuned to detect handwritten signatures in document images using [tech4humans/signature-detection](https://huggingface.co/datasets/tech4humans/signature-detection) dataset. Original YOLOS was introduced in the paper You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection by Fang et al. and first released in this repository. YOLOS is a Vision Transformer (ViT) trained using the DETR loss. Despite its simplicity, a base-sized YOLOS model is able to achieve 42 AP on COCO validation 2017 (similar to DETR and more complex frameworks such as Faster R-CNN). This model is designed for detecting handwritten signatures in scanned documents, contracts, or forms. You can try it instantly in your browser here: [](https://huggingface.co/spaces/mdefrance/signature-detection-demo) Here is how to use this model: Currently, both the image processor and model support PyTorch. The training utilized a dataset built from two public datasets: Tobacco800 and signatures-xc8up, unified and processed in Roboflow. The processed dataset was created by Samuel Lima Braz, and…
Read the full model card ↗ · Preview checked 2026-10-28T03:47:49.481Z
Inside the original model card — Document outline
- YOLOS (base-sized) Model For Handwritten Signature Detection
- Model description
- Uses
- Direct Use
- Out-of-Scope Use
- Bias, Risks, and Limitations
- Recommendations
- Training Details
- Training Data
- Training Procedure
- Metrics
- License Comparison
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Model overview
mdefrance/yolos-base-signature-detection is a object-detection model repository published by mdefrance on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- transformers
- Recent downloads (30 days)
- 2,228
- Cumulative likes
- 1
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 127,729,158
- Architecture
- YolosForObjectDetection
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-05-06T11:52:14.000Z
- Last modified
- 2025-07-10T15:15:53.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: hustvl/yolos-base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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