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Labelme.com has a Worldwide ranking of n/a Down n/a and ranking n/a in n/a. Using IP address 208.85.243.52 in and found 5 Other Websites on this Server

The site's up time is: 66 ms

Domain Age: 20 years, 98 days (Creation Date: 1999-02-12)

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  • Domain: Labelme.com
  • Hostname: Www.surething.com
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  • Continent Code: NA
  • Country Code: US
  • Country Code3: USA
  • Country Name: United States
  • Region: CA
  • City: San Diego
  • Postal Code: 92123
  • Latitude: 32.807300567627
  • Longitude: -117.1324005127
  • Dma Code: 825
  • Area Code: 858

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Keywords Suggestions

  › Labelme
  › Labelme github
  › Labelmed
  › Labelmen
  › Labelme labeling
  › Labelmefacade dataset
  › Labelme mask rcnn
  › Labelmeposh
  › Labelme2coco
  › Labelme_json_to_dataset
  › Labelme data augment
  › Labelme matlab toolbox

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Websites Same Server on IP 208.85.243.52

We Found 5 domains on IP 208.85.243.52 listing below the same server this website

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Labelme.com search for results as listed below with the link list and email address for this website

LabelMe. The Open annotation tool

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.

Link: http://labelme.csail.mit.edu/Release3.0/ (Actived: Friday May 17, 2019)

GitHub - wkentaro/labelme: Image Polygonal Annotation with ...

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

Link: https://github.com/wkentaro/labelme (Actived: Wednesday May 15, 2019)

LabelMe - Wikipedia

LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) which provides a dataset of digital images with annotations.The dataset is dynamic, free to use, and open to public contribution. The most applicable use of LabelMe is in computer vision research. As of October 31, 2010, LabelMe has 187,240 images, 62,197 annotated images, and 658,992

Link: https://en.wikipedia.org/wiki/LabelMe (Actived: Monday May 13, 2019)

labelme · PyPI

labelme # just open gui # tutorial (single image example) cd examples/tutorial labelme apc2016_obj3.jpg # specify image file labelme apc2016_obj3.jpg -O apc2016_obj3.json # close window after the save labelme apc2016_obj3.jpg --nodata # not include image data but relative image path in JSON file labelme apc2016_obj3.jpg \--labels highland_6539

Link: https://pypi.org/project/labelme/ (Actived: Friday May 17, 2019)

GitHub - CSAILVision/LabelMeAnnotationTool: Source code ...

LabelMe annotation tool source code. Here you will find the source code to install the LabelMe annotation tool on your server. LabelMe is an annotation tool writen in Javascript for online image labeling.

Link: https://github.com/CSAILVision/LabelMeAnnotationTool (Actived: Monday May 13, 2019)

Is your style the face to follow | Browse ... - label-me

label-me is a creative platform from label.m professional haircare dedicated to helping you express your style. Explore our gallery of looks for inspiration.

Link: https://label-me.com/ (Actived: Friday May 17, 2019)

LabelMe. The Open annotation tool

The LabelMe Matlab toolbox is designed to allow you to download and interact with the images and annotations in the LabelMe database. The toolbox contains functions for plotting and querying the annotations, computing statistics, dealing with synonyms, etc. This page gives a step-by-step overview of the main toolbox functionalities.

Link: http://labelme2.csail.mit.edu/Release3.0/browserTools/php/matlab_toolbox.php (Actived: Saturday May 4, 2019)

Label Me

labelme.org, a crowdsourceing platform. Toggle navigation Label Me. Login; A Crowdsourcing platform for labeling fundus images help improving AI algorithm by labeling retinal diseases. Be collaborative join the team and build up a knowledge base. Image Set. More than 200,000 full-color fundus photos included.

Link: http://labelme.org/ (Actived: Friday May 17, 2019)

LabelMe. The Open annotation tool

Send email to [email protected] if you have suggestions, find bugs or there are new features that you would like to see in the tool. Credits. The LabelMe app has been developed by Dolores Blanco, Aina Torralba, David Way, Josep Marc Ming0t and Antonio Torralba. (c) MIT, Computer Science and Artificial Intelligence Laboratory.

Link: http://labelme2.csail.mit.edu/Release3.0/browserTools/php/iPhoneHelp.php (Actived: Tuesday May 7, 2019)

精灵标注助手-人工智能数据集标注工具

图像分类,矩形框,多边形,曲线定位,3d定位 文本分类,文本实体标注,视频跟踪等

Link: http://www.jinglingbiaozhu.com/ (Actived: Saturday May 18, 2019)

Publications - LabelMe. The Open annotation tool

Publications Train in Spain and test in the rest of the world. Try to recognize and segment as many object categories as you can. Training images correspond to outdoor pictures taken in different cities of Spain.

Link: http://labelme2.csail.mit.edu/Release3.0/browserTools/php/publications.php (Actived: Thursday May 16, 2019)