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Datasets/ANIMAL

ANIMAL

ANIMAL-10N

10 classes with 50, 000 training and 5, 000 testing images. Please note that, in ANIMAL10N, noisy labels were injected naturally by human mistakes, where its noise rate was estimated at 8%.

Benchmarks

Document Text Classification/Accuracy Document Text Classification/Network Document Text Classification/ImageNet Pretrained Image Classification/Accuracy Image Classification/Network Image Classification/ImageNet Pretrained

Related Benchmarks

Animal Kingdom/2D Classification/Mean PCK@0.2 Animal Kingdom/2D Classification/PCK@0.05 Animal Kingdom/2D Pose Estimation/Mean PCK@0.2 Animal Kingdom/2D Pose Estimation/PCK@0.05 Animal Kingdom/Action Recognition/mAP Animal Kingdom/Activity Recognition/mAP Animal-Pose Dataset/1 Image, 2*2 Stitchi/AP Animal-Pose Dataset/3D/AP Animal-Pose Dataset/Animal Pose Estimation/AP Animal-Pose Dataset/Pose Estimation/AP Animal3D/1 Image, 2*2 Stitchi/PA-MPJPE Animal3D/3D/PA-MPJPE Animal3D/Animal Pose Estimation/PA-MPJPE Animal3D/Pose Estimation/PA-MPJPE Animals-10/Representation Learning/1:1 Accuracy

Statistics

Papers: 15
Benchmarks: 6

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Tasks

Document Text Classification Image Classification Learning with noisy labels