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albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

automatic-exposure-correction

This repository contains the code for improving images acquired through non-optimal exposure using various methods proposed in literature.

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

bayesian-methods-for-machine-learning

Bayesian Methods for Machine Learning

bilinear-cnn-tensorflow2.4-implementation

Implementation Bilinear CNN in tensorflow V2.4.

bmaser

carscan

Semantic Segmentation of images using PixelLib with help of Pascalvoc dataset trained with Deeplabv3+ framework.

cnn-architectures

colorization_tensorflow

computer-vision

CS 684: Computer Vision

coursera-machine-learning

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

data-scientist-with-python-datacamp

Anotaciones del career "Data Scientist with Python" de Datacamp 📈, gracias a la beca de DATASCIENCIEFEM💜. #Data_Challenge_365_Fem 👩‍💻

datasets-for-deep-learning-applied-to-satellite-and-aerial-imagery

Datasets for deep learning with satellite & aerial imagery

deep_white_balance

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

demo

Demo of mini projects

est_sharpness_image_quality

Sharpness Estimation for Document and Scene Images

exposure_correction

Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs.

image-quality_brisque

Image quality is an open source software library for Image Quality Assessment (IQA).

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image_annotation_labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

image_processing_and_computer_vision

Course material and solutions / Course: Image Processing, University of Salzburg

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

land_cover_classification_unet

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

learnopencv

Learn OpenCV : C++ and Python Examples

math_resources