Keyword Analysis & Research: imagenet classes
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IMAGENET 1000 Class List - WekaDeeplearning4j - University of …
https://deeplearning.cms.waikato.ac.nz/user-guide/class-maps/IMAGENET/
WEBIMAGENET 1000 Class List. This is used by most pretrained models included in WekaDeeplearning4j. Back to Inference Tutorial. Class ID. Class Name. 0. tench, Tinca tinca. 1. goldfish, Carassius auratus.
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Imagenet class index (1000 classes) · GitHub
https://gist.github.com/marodev/7b3ac5f63b0fc5ace84fa723e72e956d
WEBImagenet class index (1000 classes) imagenet.json. { "0": "tench", "1": "goldfish", "2": "great_white_shark", "3": "tiger_shark", "4": "hammerhead", "5": "electric_ray", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich", "10": "brambling", "11": "goldfinch", "12": "house_finch", "13": "junco", "14": "indigo_bunting", "15": "robin",
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ImageNet
https://image-net.org/
WEBImageNet 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. The project has been instrumental in advancing computer vision and deep learning research.
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ImageNet - Wikipedia
https://en.wikipedia.org/wiki/ImageNet
WEBSince 2010, the ImageNet project runs an annual software contest, the ImageNet Large Scale Visual Recognition Challenge , where software programs compete to correctly classify and detect objects and scenes. The challenge uses a "trimmed" list of one thousand non-overlapping classes.
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ImageNet classification with Python and Keras - PyImageSearch
https://pyimagesearch.com/2016/08/10/imagenet-classification-with-python-and-keras/
WEBAug 10, 2016 · ImageNet classification with Python and Keras. In the remainder of this tutorial, I’ll explain what the ImageNet dataset is, and then provide Python and Keras code to classify images into 1,000 different categories using state-of-the-art network architectures. What is ImageNet?
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ImageNet
https://image-net.org/download.php
WEBImageNet. 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 dataset. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images.
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Image Classification using Pre-Trained ImageNet Models in
https://learnopencv.com/image-classification-pretrained-imagenet-models-tensorflow-keras/
WEBAll the models trained on ImageNet are for classifying images into one of 1,000 classes. Keras comes bundled with many pre-trained classification models. As of Keras version 2.11, there are 19 different pre-trained models available, where some versions contain many variants as well. The list of models can be found here.
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A Gentle Introduction to the ImageNet Challenge (ILSVRC)
https://machinelearningmastery.com/introduction-to-the-imagenet-large-scale-visual-recognition-challenge-ilsvrc/
WEBJul 5, 2019 · Overview. This tutorial is divided into three parts; they are: ImageNet Dataset. ImageNet Large Scale Visual Recognition Challenge. Deep Learning Milestones From ILSVRC. ImageNet Dataset. ImageNet is a large dataset of annotated photographs intended for computer vision research.
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imagenet-1k · Datasets at Hugging Face
https://huggingface.co/datasets/imagenet-1k
WEBILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+).
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Are we done with ImageNet? - arXiv.org
https://arxiv.org/pdf/2006.07159.pdf
WEBFor nearly a decade, the ILSVRC image classifica-tion benchmark [1], “ImageNet”, has been a central testbed of research in artificial perception. In particu-lar, its scale and difficulty have highlighted landmark achievements in machine learning, starting with the breakthrough AlexNet [2].
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