Topic: albumentations Goto Github
Some thing interesting about albumentations
Some thing interesting about albumentations
albumentations,SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!
User: abdallamohammed
albumentations,Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
User: abdullahbas
albumentations,My solution to the Global Data Science Challenge
User: ahmedbesbes
albumentations,A technique to increase the variety and robustness of the data by changing a few characteristic of the image
User: aimanhadif
albumentations,Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
User: akashsdas
albumentations,A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
Organization: albumentations-team
albumentations,State Farm Distracted Driver Detection via Image Classification
User: aldente0630
albumentations,Malaria Detection Using LeNet Model on Augemented Dataset of Microscopic Images of Red Blood Cells.
User: alisubhan5341
albumentations,Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
User: ananyaroy1011
albumentations,Real time emotion recognition from facial expression through live captured video
User: andrew2077
albumentations,Lightweight & fast OCR models for license plate text recognition.
User: ankandrew
Home Page: https://ankandrew.github.io/fast-plate-ocr
albumentations,CIFAR10 image recognition using ResNet architecture, Gradcam images
User: arijit-datascience
albumentations,CV detection task on a custom dataset with YOLO v3 algorithm
User: axik0
albumentations,This project utilizes deep learning methodologies to automate the segmentation of a dataset I curated myself, focusing on firearm-specific features within cartridge case images. By employing multi-class semantic segmentation, it aims to enhance firearm identification systems.
User: b-fakhar
albumentations,Apply Albumentations to COCO Dataset
User: brunobelloni
albumentations,💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.
User: deftruth
Home Page: https://github.com/DefTruth/torchlm
albumentations,Research Project based on Convolution Neural Networks to identify foliar diseases in apple trees. FGVC8 Plant Pathology Kaggle Challenge.
User: divesh2201
albumentations,This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with Google Developers.
User: edaaydinea
albumentations,Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.
User: fcakyon
albumentations,End-to-end Computer Vision project, with reproducibility, CI/CD and monitoring
User: gianfrancodemarco
albumentations,Clean, reproducible, boilerplate-free deep learning project template.
Organization: groomata
Home Page: https://groomata.com
albumentations,Build a computer vision-based technology to process and detect the potholes present in an image.
User: hariprasath-v
albumentations,COCO-Detection Dataset with cv2 and Albumentations
User: hotcouscous1
albumentations,The program recognizes gender by face photo
User: iamsvp94
albumentations,The service for the demonstration of transforms in Albumentations library
User: ilialarchenko
Home Page: https://huggingface.co/spaces/IliaLarchenko/albumentations-demo
albumentations,Real Time Sign Language Recognition Using Deep Learning . An attempt to facilitate better interactions for deaf and mute people.
User: ishaan25-tech
albumentations,DualDet implementation using PyTorch
User: jahongir7174
Home Page: https://arxiv.org/abs/2107.00420
albumentations,The goal of the project is to improve a kaggle project about Dog Breed Classification, achieving an higher test accuracy. The original project achieved 79% of accuracy on the test set, while this one goes up to 87%. Also further improvements were made to the data processing pipeline in terms of modularity and performance.
User: jgurakuqi
albumentations,画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。
User: kazuhito00
albumentations,Sample implementation codes for a variety of popular image augmentation Python packages
User: kennethleungty
albumentations,Image data augmentation scheduler for albumentations transforms
User: kirilev
albumentations,Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.
User: krishnakaushik25
albumentations,Augmentation package for 3d data based on albumentaitons
User: kumuji
Home Page: https://volumentations.readthedocs.io/en/latest/?badge=latest
albumentations,Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
User: mamatshamshiev
albumentations,CSE465 Pattern Recognition and Neural Network Project
User: mhasan502
albumentations,This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
User: mozammalrahat
albumentations,Computer Vision State Of The Art Intuition Project in Pytorch; WIP
User: myselfhimanshu
albumentations,face tracking task using deep learning
User: omaradlii
albumentations,Data augmentation is a technique of artificially increasing the training set by creating modified copies of a dataset using existing data. Here is a notebook of different augmentation techniques.
User: rathod-shubham
albumentations,Reusable code for segmentation tasks in PyTorch
User: rshwndsz
albumentations,This repository contains Python code that implements an image augmentation pipeline using the albumentations library. The pipeline performs various augmentations on input images and corresponding labels and saves the augmented images and labels in separate directories.
User: sam-dev-coder
Home Page: https://github.com/sam-dev-coder/Albumentations.git
albumentations,Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.
User: shu-nya
albumentations,Classify 11 different labeled Images that express 0 to 10 seperately
User: songinpyo
albumentations,Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
User: tirth27
albumentations,Our project uses state-of-the-art deep learning techniques to tackle a vital medical task: polyp segmentation from colonoscopy images. We harness the Unet++ architecture and a robust tech stack to precisely detect and isolate polyps, advancing healthcare diagnostics and patient care. 🏥💡
User: vidhi1290
albumentations,PyDataSplit is a Python script for splitting, balancing, and augmenting image datasets for deep learning.
User: vktr274
albumentations,First position in Gran Canary Datathon 2021
User: waterknight1998
albumentations,Synthetic dataset for Object Detection
User: zenetio
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