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IMAGENET

VERDUN-Canada

Company Name:
Corporate Name:
IMAGENET
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 1154 Ch Du Golf,VERDUN,QC,Canada 
ZIP Code:
Postal Code:
H3E1H4 
Telephone Number: 5143621515 
Fax Number: 5143628225 
Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
275202 
USA SIC Description:
Printers 
Number of Employees:
20 to 49 
Sales Amount:
$2.5 to 5 million 
Credit History:
Credit Report:
Excellent 
Contact Person:
Tony Thompson 
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Company News:
  • 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
  • Download - ImageNet
    For access to the full ImageNet dataset and other commonly used subsets, please login or request access In doing so, you will need to agree to our terms of access
  • ImageNet
    ImageNet only compiles an accurate list of web images for each synset of WordNet For researchers and educators who wish to use the images for non-commercial research and or educational purposes, we can provide access through our site under certain conditions and terms
  • ImageNet Large Scale Visual Recognition Challenge (ILSVRC)
    Please refer to the individual challenge webpages for information about the most successful entries, and to the ImageNet publications page for a complete list of publications
  • ImageNet: A Large-Scale Hierarchical Image Database
    We introduce here a new database called “ImageNet”, a large-scale ontology of images built upon the backbone of the WordNet structure ImageNet aims to populate the majority of the 80,000 synsets of WordNet with an average of 500-1000 clean and full resolution images
  • ImageNet
    Meanwhile, the computer vision community has progressed, and so has ImageNet The dataset was created to benchmark object recognition—at a time when it barely worked
  • ImageNet
    The goal of this competition is to estimate the content of photographs for the purpose of retrieval and automatic annotation using a subset of the large hand-labeled ImageNet dataset (10,000,000 labeled images depicting 10,000+ object categories) as training
  • ImageNet
    The goal of this competition is to estimate the content of photographs for the purpose of retrieval and automatic annotation using a subset of the large hand-labeled ImageNet dataset (10,000,000 labeled images depicting 10,000+ object categories) as training
  • ImageNet
    © 2020 Stanford Vision Lab, Stanford University, Princeton University imagenet help desk@gmail com Copyright infringement
  • Download - ImageNet
    How to download the bounding boxes? We have not yet released the bounding boxes for all synsets To check the list of synsets with bounding boxes, please use the API: api imagenet bbox obtain_synset_list php You can download all the bounding boxes available packaged in one file here




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