Statements (66)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:television_channel
|
gptkbp:bfsLayer |
5
|
gptkbp:bfsParent |
gptkb:Efficient_Net
|
gptkbp:architectural_style |
Image Classification
|
gptkbp:base |
gptkb:Efficient_Net
|
gptkbp:developed_by |
gptkb:Google_AI
|
gptkbp:first_performance |
82.7%
|
gptkbp:has_achievements |
State-of-the-art performance
Higher accuracy with fewer parameters |
https://www.w3.org/2000/01/rdf-schema#label |
Efficient Net B2
|
gptkbp:improves |
gptkb:Efficient_Net_B1
|
gptkbp:input_output |
260x260
|
gptkbp:is_designed_for |
Mobile and Edge Devices
|
gptkbp:is_evaluated_by |
gptkb:Cityscapes_Dataset
gptkb:Open_Images_Dataset gptkb:CIFAR-10 gptkb:Celeb_A_Dataset gptkb:CIFAR-100 Kaggle Datasets LFW Dataset AD E20 K Dataset PASCALVOC 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 MSCOCO Dataset Open ML Datasets Oxford Flowers Dataset Oxford Pets Dataset Places365 Dataset Stanford Dogs Dataset Tiny Image Net Dataset VGG Face2 Dataset WIDERFACE Dataset |
gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
gptkbp:is_optimized_for |
Image Recognition Tasks
|
gptkbp:is_part_of |
Efficient Net family
|
gptkbp:is_used_in |
Computer Vision Applications
|
gptkbp:orbital_period |
7.7 million
|
gptkbp:performance |
gptkb:Image_Net_Challenge
FLO Ps |
gptkbp:rank |
96.5%
|
gptkbp:related_model |
gptkb:Efficient_Net
|
gptkbp:related_to |
gptkb:Neural_Architecture_Search
|
gptkbp:release_year |
gptkb:2019
|
gptkbp:successor |
gptkb:Efficient_Net_B3
|
gptkbp:supports |
gptkb:streaming_service
|
gptkbp:training |
gptkb:Image_Net
|
gptkbp:uses |
gptkb:Batch_Normalization
Compound Scaling Depthwise Separable Convolutions Swish Activation Function |