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gptkbp:instance_of
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gptkb:neural_networks
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gptkbp:architecture
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Image Classification
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gptkbp:base_model
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gptkb:Efficient_Net
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gptkbp:designed_for
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Mobile and Edge Devices
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gptkbp:developed_by
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gptkb:Google_AI
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gptkbp:has_achieved
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State-of-the-art performance
Higher accuracy with fewer parameters
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https://www.w3.org/2000/01/rdf-schema#label
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Efficient Net B2
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gptkbp:improves
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gptkb:Efficient_Net_B1
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gptkbp:input_output
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260x260
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gptkbp:is_evaluated_by
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gptkb:Cityscapes_Dataset
gptkb:Open_Images_Dataset
gptkb:ADE20_K_Dataset
gptkb:PASCAL_VOC_Dataset
gptkb:CIFAR-10
gptkb:Celeb_A_Dataset
gptkb:CIFAR-100
Kaggle Datasets
LFW Dataset
MS COCO Dataset
CUB-200-2011 Dataset
Caltech-256 Dataset
Food-101 Dataset
Image Net V2 Dataset
Image Net-10 Dataset
Image Net-100 Dataset
Image Net-1000 Dataset
Image Net-21 K Dataset
Image Net-5 Dataset
Image Net-50 Dataset
Image Net-500 Dataset
Image Net-A Dataset
Image Net-R Dataset
Image Net-S Dataset
Image Net-Vid Dataset
MIT Indoor Scenes Dataset
Open ML Datasets
Oxford Flowers Dataset
Oxford Pets Dataset
Places365 Dataset
Stanford Dogs Dataset
Tiny Image Net Dataset
VGGFace2 Dataset
WIDER FACE Dataset
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gptkbp:is_implemented_in
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gptkb:Tensor_Flow
gptkb:Py_Torch
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gptkbp:is_optimized_for
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Image Recognition Tasks
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gptkbp:is_part_of
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Efficient Net family
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gptkbp:is_trained_in
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gptkb:Image_Net
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gptkbp:is_used_in
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Computer Vision Applications
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gptkbp:model
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gptkb:Efficient_Net
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gptkbp:orbital_period
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7.7 million
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gptkbp:performance
|
gptkb:Image_Net_Challenge
FLOPs
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gptkbp:related_to
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gptkb:Neural_Architecture_Search
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gptkbp:release_year
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gptkb:2019
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gptkbp:successor
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gptkb:Efficient_Net_B3
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gptkbp:supports
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gptkb:stage_adaptation
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gptkbp:top1_accuracy
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82.7%
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gptkbp:top5_accuracy
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96.5%
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gptkbp:uses
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gptkb:Batch_Normalization
Compound Scaling
Depthwise Separable Convolutions
Swish Activation Function
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gptkbp:bfsParent
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gptkb:Efficient_Net
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gptkbp:bfsLayer
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5
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