Sharing my new article on an open-source project for automated signature detection in document processing. The article details:
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Sharing my new article on an open-source project for automated signature detection in document processing. The article details:
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- Dataset Engineering: Combining two public collections to create a hybrid dataset.
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- Dataset Engineering: Combining two public collections to create a hybrid dataset.
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- Architecture Benchmarking: Evaluating sota models such as YOLO series, DETR variants, and YOLOS for accuracy and efficiency.
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- Architecture Benchmarking: Evaluating sota models such as YOLO series, DETR variants, and YOLOS for accuracy and efficiency.
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- Model Optimization: Using Optuna for hyperparameter tuning, achieving a 7.94% F1-score improvement.
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- Model Optimization: Using Optuna for hyperparameter tuning, achieving a 7.94% F1-score improvement.
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- Production Deployment: Implementing Triton Inference Server with an OpenVINO CPU backend for optimized inference.
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- Production Deployment: Implementing Triton Inference Server with an OpenVINO CPU backend for optimized inference.
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It's not such a complex project, but I explore the training of the best current architectures for object detection and share all notebooks, data, models, and the repo with deployment and benchmarking details.
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It's not such a complex project, but I explore the training of the best current architectures for object detection and share all notebooks, data, models, and the repo with deployment and benchmarking details.
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Thanks 
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Thanks 
@SkalskiP
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SkalskiP
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@nielsr
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nielsr
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@sergiopaniego
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sergiopaniego
 for the notebooks and resources that have been very helpful.
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 for the notebooks and resources that have been very helpful.
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https://huggingface.co/blog/samuellimabraz/signature-detection-model
https://huggingface.co/blog/samuellimabraz/signature-detection-model
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https://huggingface.co/collections/tech4humans/signature-detection-678b087d8b0ce22ae8c3f60e
tech4humans/signature-detection-678b087d8b0ce22ae8c3f60e
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https://huggingface.co/collections/tech4humans/signature-detection-678b087d8b0ce22ae8c3f60e
Sharing my new article on an open-source project for automated signature detection in document processing. The article details:

- Dataset Engineering: Combining two public collections to create a hybrid dataset.
- Architecture Benchmarking: Evaluating sota models such as YOLO series, DETR variants, and YOLOS for accuracy and efficiency.
- Model Optimization: Using Optuna for hyperparameter tuning, achieving a 7.94% F1-score improvement.
- Production Deployment: Implementing Triton Inference Server with an OpenVINO CPU backend for optimized inference.

It's not such a complex project, but I explore the training of the best current architectures for object detection and share all notebooks, data, models, and the repo with deployment and benchmarking details.

Thanks @SkalskiP , @nielsr , @sergiopaniego for the notebooks and resources that have been very helpful.

- https://huggingface.co/blog/samuellimabraz/signature-detection-model
- https://huggingface.co/collections/tech4humans/signature-detection-678b087d8b0ce22ae8c3f60e
👍
John6666 dantezxcd
5f1158120c833276f61f1a84
https://cdn-avatars.huggingface.co/v1/production/uploads/1608042047613-5f1158120c833276f61f1a84.jpeg
Niels Rogge
nielsr
user