image recognition model

C4178

concept

An image recognition model is a computational system that analyzes visual input to automatically identify, classify, and sometimes localize objects, patterns, or features within images.

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All labels observed (12)

Label	Occurrences
image classification model	9
computer vision paper	5
convolutional neural network model	2
image recognition model canonical	2
image recognition tool	2
PyTorch torchvision model	1
computer vision model	1
computer vision system	1
facial recognition system	1
image classification system	1
vision transformer model family	1
visual recognition technology	1

Instances (25)

Instance	Via concept surface
Tesla Vision	computer vision system
LeNet	—
Long-term Recurrent Convolutional Networks for Visual Recognition and Description	computer vision paper
Scene Completion Using Millions of Photographs	computer vision paper
Google Lens	image recognition tool
Very Deep Convolutional Networks for Large-Scale Image Recognition	computer vision paper
Bixby Vision	image recognition tool
MobileNetV2	image classification model
SqueezeNet	image classification model
FasterRCNN surface form: Faster R-CNN	convolutional neural network model
KeypointRCNN	PyTorch torchvision model
ViT	—
DeiT	vision transformer model family
GoogLeNet	image classification model
Inception v4	image classification model
Face ID	facial recognition system
Learning Transferable Architectures for Scalable Image Recognition	computer vision paper
ImageNet Classification with Deep Convolutional Neural Networks	computer vision paper
Firefly	visual recognition technology
AlexNet	image classification model
VGG	image classification model
Kaggle National Data Science Bowl solution	image classification system
NASNet	image classification model
AmoebaNet	image classification model
ImageNet CNN	convolutional neural network model