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

•    Python

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Labelme is a graphical image annotation tool inspired by http://labelme.csail.mit.edu. It is written in Python and uses Qt for its graphical interface. Fig 2. VOC dataset example of instance segmentation.

image-annotation computer-vision annotations deep-learning semantic-segmentation instance-segmentation video-annotation classification

ShareX - Screen capture, file sharing and productivity tool

•    CSharp

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ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to over 50 supported destinations you can choose from.

screen-capture screen-recorder file-sharing file-upload url-shortener color-picker region-capture imgur dropbox gif gif-recorder ocr image-annotation ftp share screenshot

Labelbox - The most versatile data labeling platform for training expert AI.

•    TypeScript

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Labelbox is a data labeling tool that's purpose built for machine learning applications. Start labeling data in minutes using pre-made labeling interfaces, or create your own pluggable interface to suit the needs of your data labeling task. Labelbox is lightweight for single users or small teams and scales up to support large teams and massive data sets. Simple image labeling: Labelbox makes it quick and easy to do basic image classification or segmentation tasks. To get started, simply upload your data or a CSV file containing URLs pointing to your data hosted on a server, select a labeling interface, (optional) invite collaborators and start labeling.

image-classification image-segmentation computer-vision tensorflow labeling annotations deep-learning recognition tools image-annotation

cvat - Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

•    Javascript

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CVAT is completely re-designed and re-implemented version of Video Annotation Tool from Irvine, California tool. It is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team. Code released under the MIT License.

video-annotation computer-vision computer-vision-annotation deep-learning image-annotation annotation-tool annotation labeling labeling-tool image-labeling image-labelling-tool bounding-boxes boundingbox image-classification annotations imagenet detection recognition tensorflow

CarND-Detect-Lane-Lines-And-Vehicles - Use segmentation networks to recognize lane lines and vehicles

•    Python

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This project satisfies the requirements for both the Advanced Lane Finding project and the Vehicle Detection project for Udacity's Self-Driving Car Engineer nanodegree. Primary goals include detecting the lane lines, determining the curvature of the lane as well as the car's position within the lane, and detecting other vehicles. I chose to use convolutional neural networks to detect lane lines and cars, rather than the gradient and SVM-based approaches recommended for these projects. I annotated training images with the correct answers by adding extra layers to indicate which parts of the picture were part of lane lines or cars, then trained convolutional neural networks to produce such image masks for other images from the video. The process of curating training data and training convolutional neural networks will be discussed further later in this document.

udacity-self-driving-car lane-detection convolutional-neural-networks image-annotation image-mask

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

•    Python

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Semi Automatic Image Annotation Toolbox with RetinaNet as the suggesting algorithm. The toolbox suggests 80 class objects from the MS COCO dataset using a pretrained RetinaNet model. Clone this repository.

deep-learning tensorflow keras image-annotation image-labeling automation