Alternatives and similar repositories for BoxDetection

Users that are interested in BoxDetection are comparing it to the libraries listed below

• CatalystCode / Handwriting
  Code and procdures for handwriting object detection and recognition
  ☆79Updated 4 years ago
• lquirosd / P2PaLA
  Page to PAGE Layout Analysis Tool
  ☆191Updated 3 years ago
• lamhoangtung / LineHTR
  Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.
  ☆75Updated 3 years ago
• the-black-knight-01 / Tabulo
  Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)
  ☆198Updated 2 years ago
• mawanda-jun / TableTrainNet
  Table recognition inside douments using neural networks
  ☆93Updated 6 years ago
• Sargunan / Table-Detection-using-Deep-learning
  Tensorflow, Luminoth Based Table Detection and Extraction
  ☆162Updated 2 years ago
• yardstick17 / image_text_reader
  The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes…
  ☆147Updated 6 years ago
• hiarindam / document-image-classification-TL-SG
  Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
  ☆43Updated 5 years ago
• arthurflor23 / text-segmentation
  Document Scanner and Word Segmentation
  ☆124Updated 4 years ago
• leonlulu / DeepLayout
  Deep learning based page layout analysis
  ☆195Updated 6 years ago
• danwald / pytextractor
  python ocr using tesseract/ with EAST opencv detector
  ☆42Updated last year
• ulikoehler / OTR
  Optical table recognition - recognize tables in scan images using OpenCV
  ☆112Updated 6 years ago
• Ivalua-public / object_detection_ocr
  Pretrained deep learning features for Documents trained on OCR results with Object Detection frameworks
  ☆51Updated 7 years ago
• doxakis / form-segmentation
  Let's explore how we can extract text from forms
  ☆47Updated 7 years ago
• dhlab-epfl / dhSegment
  Generic framework for historical document processing
  ☆378Updated 4 years ago
• sam-ai / BertGrid
  Implementation of BertGrid : https://arxiv.org/abs/1909.04948
  ☆30Updated last year
• janzd / CRNN
  Convolutional recurrent neural network for scene text recognition or OCR in Keras
  ☆125Updated 4 years ago
• 0x454447415244 / HandwritingRecognitionSystem
  Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
  ☆449Updated last year
• NanoNets / nanonets-ocr-sample-python
  NanoNets OCR API Example for Python
  ☆200Updated 3 years ago
• netrapathak / Offline-Signature-Verification
  Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siames…
  ☆26Updated 7 years ago
• azmiozgen / text-detection
  Text detection with mainly MSER and SWT
  ☆201Updated 8 months ago
• neokt / car-damage-detective
  Assessing car damage with convolution neural networks for a personal auto claims expedition use case
  ☆216Updated 3 years ago
• 008karan / PAN_OCR
  Building OCR using YOLO and Tesseract
  ☆96Updated 3 years ago
• herobd / Visual-Template-Free-Form-Parsing
  Code for my ICDAR paper "Deep Visual Template-Free Form Parsing"
  ☆88Updated 3 years ago
• githubharald / DeslantImg
  The deslanting algorithm sets text upright in images. Python, C++ and OpenCL implementations provided.
  ☆150Updated 3 years ago
• ZER-0-NE / EAST-Detector-for-text-detection-using-OpenCV
  Text Detection from images using OpenCV
  ☆113Updated 4 years ago
• kakul / Alyn
  Detect and fix skew in images containing text
  ☆267Updated 6 years ago
• githubharald / WordDetector
  Detect handwritten words (classic image processing based method).
  ☆273Updated 2 years ago
• gaxler / dataset_agnostic_segmentation
  TensorFlow implementation of a segmentation system for document images.
  ☆34Updated 6 years ago
• vsymbol / CUTIE
  CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)
  ☆157Updated 2 years ago