shabby-pages VS HugsVision

Compare shabby-pages vs HugsVision and see what are their differences.

shabby-pages

ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents. (by sparkfish)
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shabby-pages HugsVision
1 1
44 188
- -
3.7 0.0
4 days ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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shabby-pages

Posts with mentions or reviews of shabby-pages. We have used some of these posts to build our list of alternatives and similar projects.
  • [P][R] Announcing: Dataset & Denoising Shabby Pages Competition
    1 project | /r/MachineLearning | 6 Apr 2022
    Into machine learning? Want a chance to earn a new MacBook Pro? Check out the Denoising ShabbyPages competition! The ShabbyPages dataset is being produced as a way to help train, test, and calibrate computer vision machine learning algorithms designed for working with documents. Enter the competition by training a model to remove the noise, and be awarded a MacBook Pro or some swag in the process! Check out the short paper introducing the dataset, and learn more about the competition at denoising-shabby.com.

HugsVision

Posts with mentions or reviews of HugsVision. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing shabby-pages and HugsVision you can also consider the following projects:

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

cia - 🐱‍💻 CIA Factbook data analysis and dataset reconstruction, modification, and tuning go here.

fashionpedia-api - Python API for Fashionpedia Dataset

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

CoordConv

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Vision-Project-Image-Segmentation

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet