432 Open source projects that are alternatives of or similar to Label Tool

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

A concise code for training and evaluating Unet using tensorflow+keras

Deep Learning for Seismic Imaging and Interpretation

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Papers and Datasets about Point Cloud.

LiTS - Liver Tumor Segmentation Challenge

PyTorch Implementation of Stacked U-Nets (SUNets)

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

Sparse and structured neural attention mechanisms

keras implementation of unet plus plus

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

hair segmentation in mobile device

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Kaggle Segmentation Challenge

Perception toolkit for sim2real training and validation

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

3D Graph Neural Networks for RGBD Semantic Segmentation

Implementation of active contour loss function

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

implement some algorithms of 6d pose estimation

Grid-GCN for Fast and Scalable Point Cloud Learning

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

nucleus/cell and histopathology image classification,detection,segmentation

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

deep learning for image processing including classification and object-detection etc.

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

An image annotation and object detection tool written in C

Fast (aimed to "real time") Portrait Segmentation on mobile phone

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Python version of Sudachi, a Japanese tokenizer.

Open solution to the Data Science Bowl 2018

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

A sentence segmenter that actually works!

An awesome semantic segmentation model that runs in real time

A collection of dataset loaders

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

A list of tools for annotating data, managing annotations, etc.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

3D Unet for Isointense Infant Brain Image Segmentation

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

An open source online platform for collaborative image labeling

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Vocal Remover using Deep Neural Networks

Tunable U-Net implementation in PyTorch

Image segmentation - general superpixel segmentation & center detection & region growing

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

PyTorch re-implementation of DeepMask