Kaggle: Cell Instance Segmentation

Last update: Aug 12, 2022

Overview

Kaggle: Cell Instance Segmentation

The goal of this challenge is to detect cells in microscope images.

with simple view on how many cels have been annotated per image:

Experimentation

install this tooling

A simple way how to use this basic functions:

! pip install https://github.com/Borda/kaggle_cell-inst-segm/archive/refs/heads/main.zip

run notebooks in Kaggle

local notebooks

some results

Training progress with EfficientNet3D with training for 10 epochs > over 96% validation accuracy:

Owner

Jirka Borovec

Computer Vision & Machine Learning & Bio-Medical Imaging & DeepLearn

GitHub Repository

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Kaggle: Cell Instance Segmentation

Related tags

Overview

Kaggle: Cell Instance Segmentation

Experimentation

install this tooling

run notebooks in Kaggle

local notebooks

some results

Owner

Jirka Borovec

PixelPick This is an official implementation of the paper "All you need are a few pixels: semantic segmentation with PixelPick."

Rule Based Classification Project

Image Segmentation and Object Detection in Pytorch

YOLOX + ROS(1, 2) object detection package

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Content shared at DS-OX Meetup

Boundary IoU API (Beta version)

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DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs

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Unofficial PyTorch code for BasicVSR

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