1887 Open source projects that are alternatives of or similar to Dataset

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

A collection of dataset loaders

Resurces for MRI images processing and deep learning in 3D

Detect whether a person is wearing a mask or not

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

🌈 Automatic Color Pop effect on any image inspired by Google Photos

A Python toolbox for computer vision research and project

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

😎 face releated algorithm, dataset and paper

Paper, dataset and code collection on human body reconstruction

Sandbox for training deep learning networks

(ACM MM 20 Oral) PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

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

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

CNNs for semantic segmentation using Keras library

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

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

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

Papers and Datasets about Point Cloud.

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

CORe50: a new Dataset and Benchmark for Continual Learning

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

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

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

基于Tensorflow2开发的优秀扩展包及项目

The official homepage of the (outdated) COCO-Stuff 10K dataset.

OpenMMLab Model Compression Toolbox and Benchmark.

🚗 the collection of vehicle re-ID papers, datasets. 🚗

An open-source semi-automated processing chain for urban OBIA classification.

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

PyTorch Implementation of Stacked U-Nets (SUNets)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

Image Test Time Augmentation with PyTorch!

All-in-one Toolbox for Computer Vision Research.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

PHP-ML - Machine Learning library for PHP

《深度学习与计算机视觉》配套代码

Generalized Data-free Universal Adversarial Perturbations

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Grid-GCN for Fast and Scalable Point Cloud Learning

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

R package to interface with OpenML

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks