kili-technology/kili-python-sdk

Simplest and fastest image and text annotation tool.

Language: Jupyter Notebook - Size: 384 MB - Last synced: about 4 hours ago - Pushed: about 10 hours ago - Stars: 223 - Forks: 27

phurwicz/hover

:speedboat: Label data at scale. Fun and precision included.

Language: Python - Size: 192 MB - Last synced: about 21 hours ago - Pushed: about 22 hours ago - Stars: 316 - Forks: 18

jsbroks/coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Language: Vue - Size: 2.02 MB - Last synced: 1 day ago - Pushed: 6 months ago - Stars: 2,019 - Forks: 442

Slava/label-tool

Web application for image labeling and segmentation

Language: JavaScript - Size: 10.4 MB - Last synced: about 12 hours ago - Pushed: over 1 year ago - Stars: 341 - Forks: 73

HumanSignal/label-studio-frontend 📦

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

Language: JavaScript - Size: 102 MB - Last synced: 5 days ago - Pushed: 27 days ago - Stars: 411 - Forks: 315

abreheret/PixelAnnotationTool

Annotate quickly images.

Language: C++ - Size: 23.8 MB - Last synced: 5 days ago - Pushed: over 1 year ago - Stars: 1,379 - Forks: 301

Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor

Web labeling tool for bitmap images and point clouds

Language: JavaScript - Size: 2.74 MB - Last synced: 5 days ago - Pushed: 9 months ago - Stars: 1,727 - Forks: 428

heylight/canvas-select

一个轻量级图片标注javascript库，支持矩形、多边形、点、折线、圆形，支持再编辑，使得图像标注更简单。

Language: TypeScript - Size: 4.15 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 174 - Forks: 39

bit-bots/imagetagger

An open source online platform for collaborative image labeling

Language: HTML - Size: 2.49 MB - Last synced: about 13 hours ago - Pushed: 29 days ago - Stars: 264 - Forks: 51

younesZdDz/react-bbox-annotator

A bounding box annotation component written for React.

Language: TypeScript - Size: 819 KB - Last synced: 2 days ago - Pushed: about 2 years ago - Stars: 27 - Forks: 10

zxch3n/image-labeler-react

A react component that helps labeling images for object detection

Language: TypeScript - Size: 871 KB - Last synced: 9 days ago - Pushed: over 1 year ago - Stars: 40 - Forks: 15

victorkang516/pascalgt-modified-version

A script to transform xml files of labelled images, to one AWS Ground Truth manifest file.

Language: Python - Size: 11 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

cvat-ai/cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Language: TypeScript - Size: 246 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 11,417 - Forks: 2,833

mrousavy/vision-camera-image-labeler

VisionCamera Frame Processor Plugin to label images using MLKit Vision

Language: Java - Size: 469 KB - Last synced: 12 days ago - Pushed: 4 months ago - Stars: 111 - Forks: 27

ISSResearch/Data-Collection-Tool

Web tool for computer vision data collection.

Language: JavaScript - Size: 48.2 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 8 - Forks: 0

valentinitnelav/img-with-box-from-excel

boxcel: Integrate Excel with Python for visualizing images with their corresponding bounding boxes for object detection annotation workflows

Language: Python - Size: 8.18 MB - Last synced: 13 days ago - Pushed: about 1 year ago - Stars: 3 - Forks: 0

mpl-extensions/mpl-image-labeller

Matplotlib Image labeller for classifying images

Language: Python - Size: 2.77 MB - Last synced: 14 days ago - Pushed: about 1 month ago - Stars: 9 - Forks: 1

faustomorales/qsl

A quick and simple tool for labeling images, videos and time series data, right from Jupyter!

Language: Svelte - Size: 16.9 MB - Last synced: 21 days ago - Pushed: 28 days ago - Stars: 33 - Forks: 2

lzx1413/LabelImgTool

LabelImgTool is a graphical image annotation tool which supports CLS,DET and SEG(semantic&instance )

Language: Python - Size: 45.6 MB - Last synced: 22 days ago - Pushed: over 4 years ago - Stars: 204 - Forks: 73

HumanSignal/label-studio

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

Language: JavaScript - Size: 1.86 GB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 16,367 - Forks: 2,018

shoumikchow/bbox-visualizer

Make drawing and labeling bounding boxes easy as cake

Language: Python - Size: 8.63 MB - Last synced: 13 days ago - Pushed: 3 months ago - Stars: 374 - Forks: 29

HumanSignal/awesome-data-labeling

A curated list of awesome data labeling tools

Size: 22.5 KB - Last synced: about 1 month ago - Pushed: 8 months ago - Stars: 3,444 - Forks: 412

googlesamples/mlkit

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

Language: Java - Size: 45.6 MB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 3,315 - Forks: 2,870

pixano/pixano-elements

Pixano Elements - Re-usable web components dedicated to data annotation tasks.

Language: TypeScript - Size: 10.7 MB - Last synced: 17 days ago - Pushed: about 1 year ago - Stars: 38 - Forks: 16

virajmavani/semi-auto-image-annotation-tool

Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model

Language: Python - Size: 8.1 MB - Last synced: 28 days ago - Pushed: about 1 year ago - Stars: 569 - Forks: 126

datagym-ai/datagym-core

Open source annotation and labeling tool for image and video assets

Language: Java - Size: 2.59 MB - Last synced: 20 days ago - Pushed: 10 months ago - Stars: 38 - Forks: 18

mfl28/BoundingBoxEditor

A JavaFX desktop application for creating image-object-annotations with bounding boxes.

Language: Java - Size: 60.8 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 44 - Forks: 8

icanerdogan/Google-MLKit-Android-Apps

All Android Applications using Google MLKit [Java & Kotlin]

Language: Kotlin - Size: 95.2 MB - Last synced: 27 days ago - Pushed: 3 months ago - Stars: 39 - Forks: 6

pixano/pixano-app

Pixano App is a web-based smart-annotation tool for computer vision applications.

Language: JavaScript - Size: 21.1 MB - Last synced: 17 days ago - Pushed: about 1 year ago - Stars: 39 - Forks: 22

developer0hye/Yolo_Label

GUI for marking bounded boxes of objects in images for training neural network YOLO

Language: C++ - Size: 1.12 MB - Last synced: about 2 months ago - Pushed: 10 months ago - Stars: 427 - Forks: 106

erdiaker/resnet

A deep residual network implementation using TF high-level APIs.

Language: Python - Size: 6.84 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

piebro/simple-image-classification-labeling-website

A simple website to label images for classification locally.

Language: HTML - Size: 5.86 KB - Last synced: 30 days ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

jenly1314/MLKit

🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。

Language: Java - Size: 498 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 783 - Forks: 145

PrithivirajDamodaran/ZSIC

Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using OpenAI CLIP for $ conscious uses (Super simple, so a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

Language: Python - Size: 51.8 KB - Last synced: 3 months ago - Pushed: about 2 years ago - Stars: 44 - Forks: 8

openMF/ppi-vision

Mobile based PPI survey tool powered by Google's on device machine learning SDK, MLKit.

Language: Jupyter Notebook - Size: 16 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 16 - Forks: 19

SightBotCN/LabelImgViaPC

LabelImgViaPC is a tool for labeling images using lidar point cloud

Size: 5.29 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

choutkamartin/image-annotation

Annotate images with SVG based polygons. React Hooks

Language: JavaScript - Size: 109 KB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

shivamkumard107/FirebaseMLKit

The project is made to help android developers understand and implement machine learning(ML) Kit provided by Firebase 🔥 as one of its features

Language: Java - Size: 9.86 MB - Last synced: 28 days ago - Pushed: about 4 years ago - Stars: 13 - Forks: 15

buni-rock/Pixie

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Language: Java - Size: 70 MB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 66 - Forks: 15

Nestak2/image-sorter2

One-click image sorting/labelling script

Language: Python - Size: 27.3 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 79 - Forks: 38

Teoge/MarkToolForParkingLotPoint

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

Language: MATLAB - Size: 945 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 74 - Forks: 23

pawel2973/AnimalFinder

Image Recognition with ML-Kit for Android.

Language: Java - Size: 9.28 MB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 1 - Forks: 2

vatsalkesarwani12/ImageProcess

An Android app where you can click or upload an image and get all image labels.

Language: Java - Size: 133 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 0

robertarvind/Interactive-Semi-Automatic-Image-2D-Bounding-Box-Annotation-Tool-using-Multi-Template_Matching

Interactive Semi Automatic Image 2D Bounding Box Annotation and Labelling Tool using Multi Template Matching An Interactive Semi Automatic Image 2D Bounding Box Annotation/Labelling Tool to aid the Annotater/User to rapidly create 2D Bounding Box Single Object Detection masks for large number of training images in a semi automatic manner in order to train an object detection deep neural network such as Mask R-CNN or U-Net. As the Annotater/User starts annotating/labelling by drawing a bounding box for a few number of images in the selected folder then the algorithm suggests bounding box predictions for the rest of the yet to be annotated/labelled images in the folder. If the predictions are right then the user/annotater can simply press the keyboard key 'y' which indicates that the detected bounding box is correct. If the prediction is wrong then the user/annotater can manually draw a rectangular 2D bounding box over the correct ROI (Region of interest) in the image and then press the key 'y' to proceed further to the rest of the images in the folder. If the user/annotater made a mistake while drawing the 2D bounding box, then he/she can press the key 'n' in order to remove the incorrectly marked 2D bounding box and he/she can repeat the process for the same image until he/she draws the correct 2D bounding box and then after drawing the correct 2D bounding box, the user/annotater may press the key 'y' to continue to the rest of the images. The 2D bounding box prediction over the whole image data set improves as the user/annotater annotates/labels more number of images by drawing 2D bounding boxes. This tool allows the user/annotater to not only interactively and rapidly annotate large number of images but also to validate the predictions at the same time interactively. This tool helps the user/annotater to save a lot of time when annotating/labelling and validating the predictions for a large number of training images in a folder. Instructions to use:- 1. If the training images are in JPEG or any other format, then convert them to PNG format using some other tool or program before using these images for annotation. 2. All the training images must contain the object of interest which is to be annotated. 3. Currently the application only supports 2D bounding box annotation for single object detection per image, but in the future semantic segmentation based annotation features will be added which will allow precise boundary segmentation masks of an object in an image. 4. If some or all of the training images have varying dimensions(shapes/resolutions), then resize them to the same dimensions using this tool by providing the height and width to which all the training images need to be resized to. The height and width are inputed separately in two different dialog boxes which pop up once the program is executed. If the training images need not be resized then press the cancel button in the dialog boxes requesting the height and width. 5. Select the folder containing the training images by navigating to the folder containing the training images through a dialog box which pops up after the program is executed. If the images need to be resized then two dialog boxes pop up. The first dialog box is to navigate to the destination folder containing the unresized raw training images and after resizing another dialog box pops up to navigate to the folder containing the saved resized training images named as "resized_data". If the images need not be resized then only one dialog box pops up so that the user can navigate to the raw training images folder directly. 6. The images in the folder pop up one by one. After drawing the correct 2D bounding box over the ROI (region of Interest), press the 'y' key. Except the first image, the rest of the images will have a 2D bounding box drawn over them. If the predicted box is accurate, then continue by pressing the 'y' key. If the prediction is incorrect, then draw the accurate bounding box and press the 'y' key. If any mistake occured while drawing the 2D box, then reset the image by removing the incorrect drawing by pressing the 'n' key and then draw the correct box and press the 'y' key. 7. The output images are stored in four different folders in the same directory containing the training images folder. among the four folders, one contains the cropped templates of the bounding boxes, black and white mask images, training images and the images with 2D box detection markings.

Language: Python - Size: 7.36 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 17 - Forks: 5

nimom38/Camera-for-Machine-Learning-Enthusiasts

The purpose of this project is to demonstrate the power of machine learning and how amazing it can be to the general people. This android camera app can detect objects, label them, estimate poses of human beings, detect and label facial features and expressions. You can install my app by dowloading the apk file from here: https://drive.google.com/file/d/1gUoWsoXhz2zZZLVYF4hC1DkTFAwwVgEb/view

Language: Kotlin - Size: 108 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

inchanji/manual-class-labeling-environment

Language: Python - Size: 13.8 MB - Last synced: 7 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

jhansom/PascalVoc2VoTT Fork of cubrink/PascalVoc2VoTT

A script to convert Pascal VOC datasets to VoTT format

Language: Python - Size: 113 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

amusi/awesome-data-label-tools

开源的标注工具大全（含2D图像/视频/3D点云等）

Size: 0 Bytes - Last synced: 3 days ago - Pushed: over 4 years ago - Stars: 48 - Forks: 5

mikaelvesavuori/azure-ml-image-labeling-service 📦

Serverless machine learning-powered image labeling service on Azure

Language: JavaScript - Size: 1.36 MB - Last synced: 13 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

droidcon-academy/android-ml-text-face-imglabel-course-materials

Android ML Kit: Text Recognition, Face Detection, and Image Labeling

Size: 5.86 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

bendourthe/computer-vision

This repository contains custom codes written to address specific projects requiring the use of Computer Vision. For more information, visit:

Language: Jupyter Notebook - Size: 653 MB - Last synced: 10 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

Rahul-Pi/PixelSAM

An automatic Image Segmentation and labelling tool which can make labelling of images for segmentation feel effortless

Language: Python - Size: 205 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 4 - Forks: 1

szkocot/dinder

Language: Python - Size: 264 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

devparanjay/Multi-Auto-Annotate Fork of mdhmz1/Auto-Annotate

Multi-Auto-Annotate : Automatically annotate multiple labels in your entire image directory by a single command. Works with COCO dataset and also has the ability to train on custom dataset.

Language: Python - Size: 3.84 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

moon-strider/jeeja-image-labeller

A windows application designed to label and split datasets

Language: C# - Size: 40 KB - Last synced: 22 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

edoproch/medical-image-captioning

NLP project done during my Erasmus in Oulu for the subject "Natural Language Processing and text mining"

Language: Jupyter Notebook - Size: 1.95 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

AI4Bharat/ezAnnotate 📦

Annotation Platform for Machine Learning / Data Science, forked from DataTurks

Language: JavaScript - Size: 7.04 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 7 - Forks: 3

ionite34/dddg

Duck Duck Duck Goose - Solver

Language: Jupyter Notebook - Size: 19.3 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

kasthack-labs/kasthack.PhotoSorter 📦

Manual image categorization tool

Language: C# - Size: 75.2 KB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

angelomenezes/dicom-labeling-tool

Web-based app for labeling DICOM files in Python.

Language: Python - Size: 10.6 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 14 - Forks: 2

matlab-deep-learning/Automate-Labeling-in-Image-Labeler-using-a-Pretrained-TensorFlow-Object-Detector

This example shows how to automate object labeling in the Image Labeler app using a TensorFlow object detector model trained in Python.

Language: MATLAB - Size: 6.03 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 6 - Forks: 0

danvc/remo

Platform for Image Labeling and Annotation Open Computer Vision

Language: JavaScript - Size: 7.45 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 3 - Forks: 1

masum035/Dataset-preparation-for-YOLO

With this repository, image annotation can be performed for already labaled image on open image dataset

Language: Python - Size: 1.03 MB - Last synced: 22 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

masum035/Custom-Image-Labeling-for-YOLO

With this repository, image labeling can be performed on your own image dataset

Language: Python - Size: 877 KB - Last synced: 22 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

emadehsan/marsjs

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

Language: JavaScript - Size: 9.18 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 53 - Forks: 3

epomatti/yolo-coords

A tiny lib that parses yolo TXT files coordinates as an array of values.

Language: JavaScript - Size: 387 KB - Last synced: 5 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

lamnguyen5464/RCT-WhereMyImage

Caption-based images gallery search Application in React-Native (with native modules integrated for image labeling)

Language: JavaScript - Size: 62.8 MB - Last synced: 24 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

microsoft-partner-solutions-ai/aerial-object-detection

This repo provides object detection, object tracking and labeling functionality. The images used to develop the models contain a mix of public and private images. The private images are proprietary and not available for public consumption.

Language: Jupyter Notebook - Size: 3.35 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

risto-trajanov/real-time-sign-language-recognition-macedonian

Real-time Macedonian sign language recognition.

Language: Jupyter Notebook - Size: 450 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

AntonioStipic/cordova-ml-kit

Implements Firebase ML Kit as Cordova plugin on iOS and Android.

Language: Java - Size: 9.77 KB - Last synced: 9 days ago - Pushed: almost 5 years ago - Stars: 10 - Forks: 3

Abhiek187/CoreML-Example

An app that identifies objects in photos using Core ML

Language: Swift - Size: 17.5 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

nileshprasad137/serverless-image-labeller

Serverless image labelling using Lambdas, Rekognition, s3, DynamoDB.

Language: Python - Size: 19.5 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 2 - Forks: 3

guillim/dgm-image-tags-french

Automatic image tagging (captioning) in french for images using the Amazon Recognition API -> the serverless way

Language: JavaScript - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

manzik/swipe-labeler

Easier and more accessible dataset labeling for classification tasks by swiping on touch-enabled devices.

Language: JavaScript - Size: 16.5 MB - Last synced: 19 days ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0

ktrk115/paircomp Fork of pallets/flask

The simple app of pairwise comparison for image data.

Language: Python - Size: 8.61 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1

shivaverma/Easy-ML

Tools to make ML tasks easy and painless.

Language: Jupyter Notebook - Size: 7.52 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 3 - Forks: 0