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1. github.com › labelmeai › labelmeGitHub - labelmeai/labelme: Image Polygonal Annotation with ...

   github.com › labelmeai › labelme

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   Labelme is a graphical tool for polygonal annotation of images, videos, and flags. It supports various formats, primitives, and features for semantic and instance segmentation, classification, and cleaning.

2. labelme.csail.mit.eduLabelMe. The Open annotation tool

   labelme.csail.mit.edu

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   Welcome to LabelMe, the open annotation tool. The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Label objects in the images. Edit your annotations.

3. pypi.org › project › labelmelabelme · PyPI

   pypi.org › project › labelme

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   Jun 13, 2024 · labelme is a graphical tool for annotating images with polygons, rectangles, circles, lines and points. It can also export annotations in VOC and COCO formats for semantic and instance segmentation tasks.

4. labelme.csail.mit.edu › Release3 › toolLabelMe: The open annotation tool

   labelme.csail.mit.edu › Release3 › tool

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   Use LabelMe, the open annotation tool, to label images online and share them with the research community.

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6. www.v7labs.com › blog › labelme-guideLabeling with LabelMe: Step-by-step Guide [Alternatives ...

   www.v7labs.com › blog › labelme-guide

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   Oct 14, 2022 · LabelMe is an open-source Python tool for labeling image and video data for computer vision projects. Learn how to install, use, and export LabelMe, and explore its features and limitations.

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7. labelme.csail.mit.edu › guidelinesLabelMe: The open annotation tool

   labelme.csail.mit.edu › guidelines

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   LabelMe is a website that allows users to contribute to a database of annotated images for computer vision research. Users can label objects in images by drawing polygons and entering names, following some guidelines and tips.

8. People also ask

   What is LabelMe & how do I use it?

   • LabelMe is a free graphical annotation tool for image and video data. Learn how to install and use LabelMe to annotate your training data, and use it to train your model on V7 Annotating data for machine learning doesn’t have to suck. Or… at least it doesn’t have to be crazy expensive.

   Labeling with LabelMe: Step-by-step Guide [Alternatives + Datasets]

   www.v7labs.com/blog/labelme-guide

   See all results for this question

   What is LabelMe GitHub?

   • What is LabelMe? LabelMe is an open-source graphical annotation tool for image and video data publicly available on GitHub. It’s written in Python, and it uses Qt for its graphical interface. LabelMe is extremely lightweight and easy to use, making it a popular choice as an open-source visual annotation tool.

   Labeling with LabelMe: Step-by-step Guide [Alternatives + Datasets]

   www.v7labs.com/blog/labelme-guide

   See all results for this question

   Is LabelMe a good Visual Annotation Tool?

   • It’s written in Python, and it uses Qt for its graphical interface. LabelMe is extremely lightweight and easy to use, making it a popular choice as an open-source visual annotation tool. You can use it to create annotations for object detection, semantic segmentation, and panoptic segmentation for both images and videos.

   Labeling with LabelMe: Step-by-step Guide [Alternatives + Datasets]

   www.v7labs.com/blog/labelme-guide

   See all results for this question

   How big is LabelMe?

   • These executives are quite small, with the Windows version being only 62 megabytes in size. LabelMe allows the export of annotated images into multiple popular formats like the Pascal-VOC format and the COCO format for both instance and semantic segmentation for images and videos. Here are other features as described on GitHub’s main page.

   Labeling with LabelMe: Step-by-step Guide [Alternatives + Datasets]

   www.v7labs.com/blog/labelme-guide

   See all results for this question

9. people.csail.mit.edu › newLabelMe › indexLabelMe. The Open annotation tool

   people.csail.mit.edu › newLabelMe › index

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   The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Label objects in the images. Edit your annotations. Upload your own pictures and explore the public collections. Log In. Username Password Forgot your password?