450 Open source projects that are alternatives of or similar to Pixie

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

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

A Jupyter widget for annotating images with bounding boxes

One-click image sorting/labelling script

A collaborative tool for labeling image data for yolo

A curated list of awesome data labeling tools

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

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

A tool for parking-slot labeling under surround-view image

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

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

Free to use online tool for labelling photos. https://makesense.ai

Create 3D labelled bounding boxes in RViz

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Automate ML dataset labelling

Keras BiseNet architecture implementation

Machine Learning Project to identify an ID Card on an image

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

U-NET Semantic Segmentation model for Mobile

A lightweight tool for labeling 3D bounding boxes in point clouds.

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

A flexible Python front-end inference SDK based on TensorRT

A list of ISO 3166-1 country codes and their bounding boxes.

A simple video annotation made with python + OpenCV for detection in YoloV2 format

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Label images from Unsplash in browser - using MobileNet on Tensorflow.Js

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Use this tool to label forms, bounding boxes, and assigning types to annotations

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Deep and Machine Learning for Microscopy

Video labeling tool based on OpenCV. Easily customizable.

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

AttaNet for real-time semantic segmentation.

Bounding Box Editor and Exporter

HyperSeg - Official PyTorch Implementation

Vehicle detection and tracking using linear SVM classifier

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.

Easily train or fine-tune SOTA computer vision models with one open source training library

Cut and paste augmentation for object detection and instance segmentation

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

基于语义分割的矿区无人机影像地物提取实验

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

This is the example implementation of UNet model for semantic segmentations

Semantic-TSDF for Self-driving Static Scene Reconstruction