Optical Character Recognition + Instance Segmentation for russian and english languages

Last update: Dec 19, 2022

Overview

Распознавание рукописного текста в школьных тетрадях

Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS.

Результаты Public

Задача

Вам нужно разработать алгоритм, который способен распознать рукописный текст в школьных тетрадях. В качестве входных данных вам будут предоставлены фотографии целых листов. Предсказание модели — список распознанных строк с координатами полигонов и получившимся текстом.

Как должно работать решение?

Последовательность двух моделей: сегментации и распознавания. Сначала сегментационная модель предсказывает полигоны маски каждого слова на фото. Затем эти слова вырезаются из изображения по контуру маски (получаются кропы на каждое слово) и подаются в модель распознавания. В итоге получается список распознанных слов с их координатами.

Модели

Instance Segmentation

модель X101-FPN из зоопарка моделей detectron2 + аугментации + высокое разрешение

Optical Character Recognition (OCR)

архитектура CRNN с бекбоном Resnet-34, предобученным на топ 1 модели соревнования Digital Peter

Beam Search

модель KenLM, обученная на данных сорвенования Feedback, Решу ОГЭ/ЕГЭ, а также CTCDecoder

Ресурсы & Submit

Christofari с NVIDIA Tesla V100 и образом jupyter-cuda10.1-tf2.3.0-pt1.6.0-gpu:0.0.82

Мы не гарантируем поддержку сабмита всё время, поэтому предоставляем 2 ссылки: Google Drive и Yandex

Цитирование

@misc{nto-ai-text-recognition,
  author =       {Arseniy Shahmatov and Gerasomiv Maxim},
  title =        {notebook-recognition},
  howpublished = {\url{https://github.com/Lednik7/nto-ai-text-recognition}},
  year =         {2022}
}

You might also like...

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Mask R-CNN for Object Detection and Segmentation This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bound

22.5k Jan 4, 2023

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Swin Transformer for Object Detection This repo contains the supported code and configuration files to reproduce object detection results of Swin Tran

1.4k Dec 30, 2022

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Faster R-CNN and Mask R-CNN in PyTorch 1.0 maskrcnn-benchmark has been deprecated. Please see detectron2, which includes implementations for all model

9k Jan 4, 2023

Object detection and instance segmentation toolkit based on PaddlePaddle.

9.3k Jan 2, 2023

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

The Official PyTorch Implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

3 Oct 15, 2021

The PyTorch implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision The PyTorch implementation of DiscoBox: Weakly Supe

1 Oct 23, 2021

Optical Character Recognition + Instance Segmentation for russian and english languages

Related tags

Overview

Распознавание рукописного текста в школьных тетрадях

Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS.

Результаты Public

Задача

Как должно работать решение?

Модели

Ресурсы & Submit

Цитирование

You might also like...

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Object detection and instance segmentation toolkit based on PaddlePaddle.

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

The PyTorch implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.

Numbering permanent and deciduous teeth via deep instance segmentation in panoramic X-rays

Res2Net for Instance segmentation and Object detection using MaskRCNN

Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation.

Releases(v1.0.0)

v1.0.0(Mar 6, 2022)

Owner

Gerasimov Maxim

Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.

A modular active learning framework for Python

Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis in JAX

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Implementation of the master's thesis "Temporal copying and local hallucination for video inpainting".

Tidy interface to polars

Delta Conformity Sociopatterns Analysis - Delta Conformity Sociopatterns Analysis

Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.

A Marvelous ChatBot implement using PyTorch.

Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

Physics-Aware Training (PAT) is a method to train real physical systems with backpropagation.

CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"

MlTr: Multi-label Classification with Transformer

Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

Educational 2D SLAM implementation based on ICP and Pose Graph

Reinfore learning tool box, contains trpo, a3c algorithm for continous action space

Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method

SpecAugmentPyTorch - A Pytorch (support batch and channel) implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

official implemntation for "Contrastive Learning with Stronger Augmentations"

A proof of concept ai-powered Recaptcha v2 solver