Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.

Modification of PyTorch implementation of YOLOv3 Object Detection.

Reusable code for segmentation tasks in PyTorch

Emotion classifier for HackerEarth Competition

My solution to the Global Data Science Challenge

Training pipeline for image classification in PyTorch.

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

Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.

Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.

Implementation of torchvision-like based on albumentations

Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.

Image data augmentation scheduler for albumentations transforms

画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。

CIFAR10 image recognition using ResNet architecture, Gradcam images

Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.

First position in Gran Canary Datathon 2021

Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.

The program recognizes gender by face photo

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.

Synthetic dataset for Object Detection