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#

albumentations

Here are 78 public repositories matching this 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.

  • UpdatedFeb 7, 2025
  • Python
Skin-Cancer-Classification-using-Deep-Learning

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.

  • UpdatedFeb 16, 2022
  • Jupyter Notebook
fast-plate-ocr

The service for the demonstration of transforms in Albumentations library

  • UpdatedJul 7, 2024
  • Python

Augmentation package for 3d data based on albumentaitons

  • UpdatedAug 2, 2024
  • Python

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

  • UpdatedAug 30, 2024
  • Jupyter Notebook

Image data augmentation scheduler for albumentations transforms

  • UpdatedMay 1, 2021
  • Python

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

  • UpdatedSep 28, 2020
  • Python

Clean, reproducible, boilerplate-free deep learning project template.

  • UpdatedMay 3, 2023
  • Python

Modification of PyTorch implementation of YOLOv3 Object Detection.

  • UpdatedNov 1, 2019
  • Jupyter Notebook

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.

  • UpdatedMar 9, 2025
  • Python

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.

  • UpdatedJan 30, 2023
  • Jupyter Notebook

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. 🏥💡

  • UpdatedSep 24, 2023
  • Jupyter Notebook

Sample implementation codes for a variety of popular image augmentation Python packages

  • UpdatedJun 20, 2022
  • Jupyter Notebook

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

  • UpdatedSep 5, 2021
  • Jupyter Notebook

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

  • UpdatedOct 4, 2019
  • Python

Build a computer vision-based technology to process and detect the potholes present in an image.

  • UpdatedJan 16, 2023
  • Jupyter Notebook

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