GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → andreasveit → Coco Text

andreasveit / Coco Text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

Labels

jupyter-notebook

Projects that are alternatives of or similar to Coco Text

Recommender live
Stars: ✭ 138 (+0%)
Mutual labels:  jupyter-notebook
Python Engineer Notebooks
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Mnist draw
This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Ipytracer
📊 Algorithm Visualizer for IPython/Jupyter Notebook
Stars: ✭ 138 (+0%)
Mutual labels:  jupyter-notebook
Best Deep Learning Optimizers
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Image classifier
CNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Ethnicolr
Predict Race and Ethnicity Based on the Sequence of Characters in a Name
Stars: ✭ 137 (-0.72%)
Mutual labels:  jupyter-notebook
Widendeep
wide and deep labs and samples
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Tensorflow In Practice Specialization
Tensorflow-in-Practice-Specialization
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Python For Data Science
A blog for data analytics using data science technologies
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Ipython Quick Ref Sheets
This is ongoing work developing quick reference sheets for IPython
Stars: ✭ 138 (+0%)
Mutual labels:  jupyter-notebook
Hadith Data Sets
All Hadith With Tashkil and Without Tashkel from the Nine Books that are 62,169 Hadith.
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Usiigaci
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Imageaugmentation
Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.
Stars: ✭ 138 (+0%)
Mutual labels:  jupyter-notebook
Pytorch Faster Rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
Stars: ✭ 1,779 (+1189.13%)
Mutual labels:  jupyter-notebook
Openff Toolkit
The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
Stars: ✭ 138 (+0%)
Mutual labels:  jupyter-notebook
Multi Task Refinenet
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Crypto Rnn
Learning the Enigma with Recurrent Neural Networks
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
Finrl Library
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Stars: ✭ 3,037 (+2100.72%)
Mutual labels:  jupyter-notebook
Pytorch Ppuu
Code for Prediction and Planning Under Uncertainty (PPUU)
Stars: ✭ 139 (+0.72%)
Mutual labels:  jupyter-notebook
View All Similar Projects ➔

coco-text

Update: Make sure to update and use evaluation script version 1.3

COCO-Text API http://vision.cornell.edu/se3/coco-text/

COCO-Text is a large dataset designed for text detection and recognition. This is a Python API that assists in loading, parsing and visualizing the annotations. The format of the COCO-Text annotations is also described on the project website.

In addition to this API, please download both the MSCOCO images, available on the [MSCOCO project website] (http://mscoco.org/dataset/#download) and the text annotations from the [coco-text website] (http://vision.cornell.edu/se3/coco-text/).

This dataset is based on Microsoft COCO. Please visit http://mscoco.org/ for more information on COCO, including the image data, object annotatins and caption annotations.

After downloading the images and annotations run the Python demo for example usage.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].