There are 0 repository under albumentations topic.
Lightweight & fast OCR models for license plate text recognition.
💎A high level pipeline for face landmarks detection: train, eval, inference (Python/C++) and 100+ data augmentations.
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.
The service for the demonstration of transforms in Albumentations library
Augmentation package for 3d data based on albumentaitons
My solution to the Global Data Science Challenge
画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。
Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.
Image data augmentation scheduler for albumentations transforms
Modification of PyTorch implementation of YOLOv3 Object Detection.
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.
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.
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. 🏥💡
Projet de Classification d'Images de Fruits
Sample implementation codes for a variety of popular image augmentation Python packages
Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.
Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
First position in Gran Canary Datathon 2021
Build a computer vision-based technology to process and detect the potholes present in an image.
Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.
State Farm Distracted Driver Detection via Image Classification
Synthetic dataset for Object Detection
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.
SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!
Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
End-to-end Computer Vision project, with reproducibility, CI/CD and monitoring
Using Albumentations Package for some image augmentation in different vision tasks
A technique to increase the variety and robustness of the data by changing a few characteristic of the image
CV detection task on a custom dataset with YOLO v3 algorithm
Real Time Sign Language Recognition Using Deep Learning . An attempt to facilitate better interactions for deaf and mute people.
This project focuses on creating a model for segmenting people in images using the EasyPortrait: Face Parsing & Portrait Segmentation dataset.
Local web application providing API and UI for image augmentation, based on the albumentations library
face tracking task using deep learning
PyDataSplit is a Python script for splitting, balancing, and augmenting image datasets for deep learning.