There are 0 repository under albumentations topic.
💎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.
The service for the demonstration of transforms in Albumentations library
Lightweight & fast OCR models for license plate text recognition.
My solution to the Global Data Science Challenge
Augmentation package for 3d data based on albumentaitons
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.
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.
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.
First position in Gran Canary Datathon 2021
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.
Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
State Farm Distracted Driver Detection via Image Classification
Build a computer vision-based technology to process and detect the potholes present in an image.
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. 🏥💡
Synthetic dataset for Object Detection
Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.
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
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.
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
Apply Albumentations to COCO Dataset
COCO-Detection Dataset with cv2 and Albumentations
Real Time Sign Language Recognition Using Deep Learning . An attempt to facilitate better interactions for deaf and mute people.
DualDet implementation using PyTorch
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.
CSE465 Pattern Recognition and Neural Network Project
This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
face tracking task using deep learning
PyDataSplit is a Python script for splitting, balancing, and augmenting image datasets for deep learning.