LABELME
LabelMe creates datasets for machine learning projects. We are competent in data collection and markup for CV, NLP, NER, OCR, TTS, STT tasks
LABELME
Industry:
Artificial Intelligence Computer Vision Data Mining Image Recognition Information Technology Machine Learning Natural Language Processing Software Speech Recognition
Founded:
2019-10-12
Website Url:
http://www.labelme.ru
Total Employee:
1001+
Status:
Active
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default LetsEncrypt Apple Mobile Web Clips Icon Google Tag Manager WordPress Content Delivery Network Wordpress Plugins
Current Advisors List
Current Employees Featured
Founder
Official Site Inspections
http://www.labelme.ru Semrush global rank: 4.13 M Semrush visits lastest month: 2.91 K
- Host name: 185.165.123.36
- IP address: 185.165.123.36
- Location: Russia
- Latitude: 55.7386
- Longitude: 37.6068
- Timezone: Europe/Moscow
More informations about "LabelMe"
LabelMe - Crunchbase Company Profile & Funding
LabelMe creates datasets for machine learning projects. We are competent in data collection and markup for CV, NLP, NER, OCR, TTS, STT tasks. Where is LabelMe's headquarters? …See details»
LabelMe - Wikipedia
LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) that 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 labeled objects. See details»
LabelMe - Products, Competitors, Financials, Employees, …
LabelMe offers a platform for data labeling and training machine learning models. The company's services include free demos, speed, additional verification, personal managers, markup tools, …See details»
Exploring Labelme — An Open Source Image Annotation Tool
Mar 20, 2024 · Labelme is an open-source graphical image annotation tool designed to simplify the process of annotating images. Its primary purpose is to provide users with an intuitive tool …See details»
LabelMe: A Database and Web-Based Tool for Image Annotation
Oct 31, 2007 · We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and …See details»
LabelMe: online image annotation and applications - Bryan Russell
Motivated by the availability of images on the internet, we introduced a web-based annotation tool that allows online users to label objects and their spatial extent in images. To date, we have …See details»
LabelMe: A Database and Web-Based Tool for Image Annotation
May 1, 2008 · To achieve this, we developed a web-based tool that allows easy image annotation and instant sharing of such annotations. Using this annotation tool, we have collected a large …See details»
LabelMe: A Database and Web-Based Tool for Image Annotation
Feb 20, 2007 · LabelMe is an online annotation tool that allows the sharing of images and annotations. The tool provides many functionalities such as drawing polygons, querying …See details»
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 …See details»
LabelMe: A Database and Web-Based Tool for Image Annotation
We seek to build a large collection of images with ground truth labels to be used for object detection and recog-nition research. Such data is useful for supervised learning and …See details»
Сбор данных от LabelMe: как Сослан Мамитов фото стихийных …
Feb 2, 2021 · Сбор и разметка данных для машинного обучения. Наш сайт: https://labelme.ru/See details»
LabelMe: A Database and Web-Based Tool for Image Annotation
May 1, 2008 · This work presents an approach that relies on a boosting process to automatically create polygonal annotations for objects similar to those entered by users in tools such as …See details»
LabelMe: online image annotation and applications - Bryan Russell
Motivated by the availability of images on the Internet, we introduced a web-based annotation tool that allows online users to label objects and their spatial extent in images. To date, we have …See details»
LabelMe: A Database and Web-based Tool for Image Annotation
LabelMe has the potential to overcome those problems. LabelMe is not only a database of labeled images, but also a web-based tool for easily creating and sharing more labeled data. In …See details»
LabelMe: Online Image Annotation and Applications - IEEE Xplore
Jun 10, 2010 · Motivated by the availability of images on the Internet, we introduced a web-based annotation tool that allows online users to label objects and their spatial extent in images. To …See details»
GitHub - wkentaro/labelme: Image Polygonal Annotation with …
If you're new to Labelme, you can get started with Labelme Starter, which contains: A compilation of valuable resources for further exploration ?. There are options: You need install Anaconda, …See details»
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, …See details»
labelme - PyPI
Jun 13, 2024 · It is written in Python and uses Qt for its graphical interface. VOC dataset example of instance segmentation. Other examples (semantic segmentation, bbox detection, and …See details»
How to Use LabelMe: A Complete Guide - Roboflow Blog
Jul 20, 2023 · LabelMe is a free, open-source annotation tool that you can use for labeling computer vision datasets. In this guide, we have demonstrated how to use LabelMe. We …See details»
Всероссийский научно-исследовательский геологический …
В 2013 году в институте работало 2 члена-корреспондента РАН, 31 доктор и 140 кандидатов наук [8].. Филиалы. В 2005 году открылся московский филиал «МФ ВСЕГЕИ» на улице …See details»