A Repo For Document AI

🔄 A tool for object detection and image segmentation dataset format conversion.

Detectron2 for Document Layout Analysis

ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...

Integrate AI-powered Document Analysis Pipelines

Diffusion Layout Transformer implementation.

Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset

Using a MaskRCNN model trained on the PublayNet dataset with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.

Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

Extract and convert PubLayNet data to PageXml format

PubLayNet for huggingface datasets

Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.