IMAGENET
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently They have an average of over five hundred images per node. They hope ImageNet will become a useful resource for researchers, educators, students and all of you who share Their passion for pictures.
IMAGENET
Industry:
Database Education Information Technology Software
Founded:
1995-01-01
Address:
London, England, United Kingdom
Country:
United Kingdom
Website Url:
http://www.image-net.org
Total Employee:
101+
Status:
Active
Total Funding:
2 M USD
Technology used in webpage:
SPF SSL By Default Google Analytics LetsEncrypt Content Delivery Network Apache Google Apps For Business ReCAPTCHA PHP GoDaddy DNS
Similar Organizations
DataProvider
DataProvider designs and develops web-crawlers that transforms the internet into a structured database.
UpGrowz
We connect learning solutions with people through professional orientations thanks to the use of big data and AI.
Investors List
Jerusalem Global Ventures
Jerusalem Global Ventures investment in Series A - ImageNet
Official Site Inspections
http://www.image-net.org Semrush global rank: 596.06 K Semrush visits lastest month: 76.52 K
- Host name: imagenet.stanford.edu
- IP address: 171.64.68.16
- Location: Stanford United States
- Latitude: 37.423
- Longitude: -122.1639
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94305
More informations about "ImageNet"
ImageNet - Wikipedia
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the โฆSee details»
IMAGE NET Dataset - GitHub Pages
Jul 2, 2023 The images are annotated with metadata, including the URL of the image, the bounding box coordinates for the object, and the synset ID. To โฆSee details»
ImageNet: A large-scale hierarchical image database
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and โฆSee details»
ImageNet, an Image Database and Ontology - History of Information
In 2008 Principal Investigators Li Fei-Fei of Stanford Vision Lab and Kai Li of the Department of Computer Science at Princeton, and associates, advisors and friends, began building โฆSee details»
ImageNet22K - Dataset - LDM
No Organization There is no description for this organization ... Groups; Activity Stream; ImageNet22K The ImageNet22K dataset contains 14 million images representing 21,841 โฆSee details»
ImageNet - Crunchbase Company Profile & Funding
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by โฆSee details»
ImageNet: A Large-Scale Hierarchical Image Database - LDM
The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories. Data and Resources Original Metadata JSONSee details»
About ImageNet
News and updates. March 11 2021: ImageNet website update and a new paper on privacy preservation. October 10, 2019: The ILSVRC 2012 classification and localization test set has โฆSee details»
Download - ImageNet
Download ImageNet Data The most highly-used subset of ImageNet is the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012-2017 image classification and localization โฆSee details»
ImageNet 10 Image Recognition Dataset | Datasets | HyperAI่ถ ็ฅ็ป
ImageNet is currently the world's largest image recognition database. It is mainly used for image classification and target detection in the field of machine vision. The dataset is organized โฆSee details»
ImageNet-22k - Dataset - LDM
Field Value; Created: December 2, 2024: Last update: December 2, 2024: Author: Qibin Hou More Authors: Cheng-Ze Lu Ming-Ming ChengSee details»
ImageNet
Sep 17, 2019 ImageNet is an image database with a total of 14 million images and 22 thousand visual categories. As it is publicly available for research and educational use, it has been โฆSee details»
My ImageNet Account
We need to verify that you are a human, not a robot. © 2020 Stanford Vision Lab, Stanford University, Princeton University [email protected] Copyright ...See details»
ImageNet-LT - Dataset - LDM
The dataset is a benchmark for self-supervised learning on long-tailed data. It contains 115.8K images with 1000 categories, ranging from 1,280 to 5 in terms of class cardinality.See details»
Download - ImageNet
Here you can request access to the original images. Click here for details of how it works. Below is the information you have provided. Please make sure it is true and correct. Please provide โฆSee details»
ImageNet-1K and ImageNet-22K - Dataset - LDM
The dataset used in the paper is the ImageNet-1K and ImageNet-22K datasets.See details»
ImageNet-32 - Dataset - LDM
The ImageNet-32 dataset is a subset of the ImageNet dataset, containing 1,281,167 training samples and 50,000 test samples, distributed across 1,000 labels.See details»
ImageNet VID - Dataset - LDM
Video object detection dataset.See details»
Download - ImageNet
ImageNet does not own the copyright of the images. For researchers and educators who wish to use the images for non-commercial research and/or educational purposes, we can provide โฆSee details»