💎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.
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Updated
May 11, 2024 - Python
💎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
My solution to the Global Data Science Challenge
Lightweight & fast OCR models for license plate text recognition.
Clean, reproducible, boilerplate-free deep learning project template.
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.
CIFAR10 image recognition using ResNet architecture, Gradcam images
First position in Gran Canary Datathon 2021
Computer Vision State Of The Art Intuition Project in Pytorch; WIP
Sample implementation codes for a variety of popular image augmentation Python packages
Augmentation package for 3d data based on albumentaitons
CSE465 Pattern Recognition and Neural Network Project
Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
Modification of PyTorch implementation of YOLOv3 Object Detection.
Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
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.
Image data augmentation scheduler for albumentations transforms
State Farm Distracted Driver Detection via Image Classification
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