image-augmentation

Image augmentation for machine learning experiments.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Artificial Intelligence Learning Notes.

A simpler way of reading and augmenting image segmentation data into TensorFlow

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A fast image augmentation library in Julia for machine learning.

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Custom image data generator for Keras supporting the use of modern augmentation modules

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Image augmentation with simultaneous transformation of keypoints, bounding boxes, and segmentation mask

A python library for instagram filters

Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite

discolight is a robust, flexible and infinitely hackable library for generating image augmentations ✨

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

This repository is containing an object classification & localization project for SINGLE object.

This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset

Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation

Pytorch implements yolov3.Good performance, easy to use, fast speed.

Image rotation and cropping out the black borders in TensorFlow

Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.

Code for the implemenation of the Patch Augmentation technique

Online Image Augmentor in Pure Tensorflow

🖼 Imago is an image processing project based on Image classification, Compression, Data Augmentation, and Super-Resolution using CNN, Keras, and TensorFlow.