Yolos Base Signature Detection ONNX

--- library_name: transformers.js license: apache-2.0 datasets: - tech4humans/signature-detection base_model: - mdefrance/yolos-base-signature-detection pipeline_tag: object-detection --- # yolos-base-signature-detection (ONNX) This is an ONNX version of [mdefrance/yolos-base-signature-detection](https://huggingface.co/mdefrance/yolos-base-signature-detection). It was automatically converted and uploaded using [this Hugging Face Space](https://huggingface.co/spaces/onnx-community/convert-to-onnx). ## Usage with Transformers.js See the pipeline documentation for `object-detection`: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ObjectDetectionPipeline --- # YOLOS (base-sized) Model For Handwritten Signature Detection YOLOS model finetuned to detect handwritten signatures in document images using [[tech4humans/signature-detection](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-md.svg)](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](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [this repository](https://github.com/hustvl/YOLOS). ## Model description 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). - **Finetuned by:** [Mario DEFRANCE](www.linkedin.com/in/mario-defrance) - **Repository:** [mdefrance/signature-detection](https://github.com/mdefrance/signature-detection/) - **Model type:** [YOLOS](https://huggingface.co/docs/transformers/model_doc/yolos) - **License:** Apache 2.0 license - **Finetuned from model** [hustvl/yolos-base](https://huggingface.co/hustvl/yolos-base) ## Uses 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) ### Direct Use Here is how to use this model: ```python from datasets import load_dataset from transformers import pipeline # Load...