Machine Learning Datasets Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation
  • Datasets
    • MNIST
    • ImageNet Dataset
    • COCO Dataset
    • CIFAR 10 Dataset
    • CIFAR 100 Dataset
    • FFHQ Dataset
    • Places205 Dataset
    • GTZAN Genre Dataset
    • GTZAN Music Speech Dataset
    • The Street View House Numbers (SVHN) Dataset
    • Caltech 101 Dataset
    • LibriSpeech Dataset
    • dSprites Dataset
    • PUCPR Dataset
    • RAVDESS Dataset
    • GTSRB Dataset
    • CSSD Dataset
    • ATIS Dataset
    • Free Spoken Digit Dataset (FSDD)
    • not-MNIST Dataset
    • ECSSD Dataset
    • COCO-Text Dataset
    • CoQA Dataset
    • FGNET Dataset
    • ESC-50 Dataset
    • GlaS Dataset
    • UTZappos50k Dataset
    • Pascal VOC 2012 Dataset
    • Pascal VOC 2007 Dataset
    • Omniglot Dataset
    • HMDB51 Dataset
    • Chest X-Ray Image Dataset
    • NIH Chest X-ray Dataset
    • Fashionpedia Dataset
    • DRIVE Dataset
    • Kaggle Cats & Dogs Dataset
    • Lincolnbeet Dataset
    • Sentiment-140 Dataset
    • MURA Dataset
    • LIAR Dataset
    • Stanford Cars Dataset
    • SWAG Dataset
    • HASYv2 Dataset
    • WFLW Dataset
    • Visdrone Dataset
    • 11k Hands Dataset
    • QuAC Dataset
    • LFW Deep Funneled Dataset
    • LFW Funneled Dataset
    • Office-Home Dataset
    • LFW Dataset
    • PlantVillage Dataset
    • Optical Handwritten Digits Dataset
    • UCI Seeds Dataset
    • STN-PLAD Dataset
    • FER2013 Dataset
    • Adience Dataset
    • PPM-100 Dataset
    • CelebA Dataset
    • Fashion MNIST Dataset
    • Google Objectron Dataset
    • CARPK Dataset
    • CACD Dataset
    • Flickr30k Dataset
    • Kuzushiji-Kanji (KKanji) dataset
    • KMNIST
    • EMNIST Dataset
    • USPS Dataset
    • MARS Dataset
    • HICO Classification Dataset
    • NSynth Dataset
    • RESIDE dataset
    • Electricity Dataset
    • DRD Dataset
    • Caltech 256 Dataset
    • AFW Dataset
    • PACS Dataset
    • TIMIT Dataset
    • KTH Actions Dataset
    • WIDER Face Dataset
    • WISDOM Dataset
    • DAISEE Dataset
    • WIDER Dataset
    • LSP Dataset
    • UCF Sports Action Dataset
    • Wiki Art Dataset
    • FIGRIM Dataset
    • ANIMAL (ANIMAL10N) Dataset
    • OPA Dataset
    • DomainNet Dataset
    • HAM10000 Dataset
    • Tiny ImageNet Dataset
    • Speech Commands Dataset
    • 300w Dataset
    • Food 101 Dataset
    • VCTK Dataset
    • LOL Dataset
    • AQUA Dataset
    • LFPW Dataset
    • ARID Video Action dataset
    • NABirds Dataset
    • SQuAD Dataset
    • ICDAR 2013 Dataset
    • Animal Pose Dataset
Get Started
Machine Learning Datasets Machine Learning Datasets
Get Started
Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation
  • Datasets
    • MNIST
    • ImageNet Dataset
    • COCO Dataset
    • CIFAR 10 Dataset
    • CIFAR 100 Dataset
    • FFHQ Dataset
    • Places205 Dataset
    • GTZAN Genre Dataset
    • GTZAN Music Speech Dataset
    • The Street View House Numbers (SVHN) Dataset
    • Caltech 101 Dataset
    • LibriSpeech Dataset
    • dSprites Dataset
    • PUCPR Dataset
    • RAVDESS Dataset
    • GTSRB Dataset
    • CSSD Dataset
    • ATIS Dataset
    • Free Spoken Digit Dataset (FSDD)
    • not-MNIST Dataset
    • ECSSD Dataset
    • COCO-Text Dataset
    • CoQA Dataset
    • FGNET Dataset
    • ESC-50 Dataset
    • GlaS Dataset
    • UTZappos50k Dataset
    • Pascal VOC 2012 Dataset
    • Pascal VOC 2007 Dataset
    • Omniglot Dataset
    • HMDB51 Dataset
    • Chest X-Ray Image Dataset
    • NIH Chest X-ray Dataset
    • Fashionpedia Dataset
    • DRIVE Dataset
    • Kaggle Cats & Dogs Dataset
    • Lincolnbeet Dataset
    • Sentiment-140 Dataset
    • MURA Dataset
    • LIAR Dataset
    • Stanford Cars Dataset
    • SWAG Dataset
    • HASYv2 Dataset
    • WFLW Dataset
    • Visdrone Dataset
    • 11k Hands Dataset
    • QuAC Dataset
    • LFW Deep Funneled Dataset
    • LFW Funneled Dataset
    • Office-Home Dataset
    • LFW Dataset
    • PlantVillage Dataset
    • Optical Handwritten Digits Dataset
    • UCI Seeds Dataset
    • STN-PLAD Dataset
    • FER2013 Dataset
    • Adience Dataset
    • PPM-100 Dataset
    • CelebA Dataset
    • Fashion MNIST Dataset
    • Google Objectron Dataset
    • CARPK Dataset
    • CACD Dataset
    • Flickr30k Dataset
    • Kuzushiji-Kanji (KKanji) dataset
    • KMNIST
    • EMNIST Dataset
    • USPS Dataset
    • MARS Dataset
    • HICO Classification Dataset
    • NSynth Dataset
    • RESIDE dataset
    • Electricity Dataset
    • DRD Dataset
    • Caltech 256 Dataset
    • AFW Dataset
    • PACS Dataset
    • TIMIT Dataset
    • KTH Actions Dataset
    • WIDER Face Dataset
    • WISDOM Dataset
    • DAISEE Dataset
    • WIDER Dataset
    • LSP Dataset
    • UCF Sports Action Dataset
    • Wiki Art Dataset
    • FIGRIM Dataset
    • ANIMAL (ANIMAL10N) Dataset
    • OPA Dataset
    • DomainNet Dataset
    • HAM10000 Dataset
    • Tiny ImageNet Dataset
    • Speech Commands Dataset
    • 300w Dataset
    • Food 101 Dataset
    • VCTK Dataset
    • LOL Dataset
    • AQUA Dataset
    • LFPW Dataset
    • ARID Video Action dataset
    • NABirds Dataset
    • SQuAD Dataset
    • ICDAR 2013 Dataset
    • Animal Pose Dataset

Machine Learning Datasets

  • Folder icon closed Folder open iconDatasets
    • MNIST
    • ImageNet Dataset
    • COCO Dataset
    • CIFAR 10 Dataset
    • CIFAR 100 Dataset
    • FFHQ Dataset
    • Places205 Dataset
    • GTZAN Genre Dataset
    • GTZAN Music Speech Dataset
    • The Street View House Numbers (SVHN) Dataset
    • Caltech 101 Dataset
    • LibriSpeech Dataset
    • dSprites Dataset
    • PUCPR Dataset
    • RAVDESS Dataset
    • GTSRB Dataset
    • CSSD Dataset
    • ATIS Dataset
    • Free Spoken Digit Dataset (FSDD)
    • not-MNIST Dataset
    • ECSSD Dataset
    • COCO-Text Dataset
    • CoQA Dataset
    • FGNET Dataset
    • ESC-50 Dataset
    • GlaS Dataset
    • UTZappos50k Dataset
    • Pascal VOC 2012 Dataset
    • Pascal VOC 2007 Dataset
    • Omniglot Dataset
    • HMDB51 Dataset
    • Chest X-Ray Image Dataset
    • NIH Chest X-ray Dataset
    • Fashionpedia Dataset
    • DRIVE Dataset
    • Kaggle Cats & Dogs Dataset
    • Lincolnbeet Dataset
    • Sentiment-140 Dataset
    • MURA Dataset
    • LIAR Dataset
    • Stanford Cars Dataset
    • SWAG Dataset
    • HASYv2 Dataset
    • WFLW Dataset
    • Visdrone Dataset
    • 11k Hands Dataset
    • QuAC Dataset
    • LFW Deep Funneled Dataset
    • LFW Funneled Dataset
    • Office-Home Dataset
    • LFW Dataset
    • PlantVillage Dataset
    • Optical Handwritten Digits Dataset
    • UCI Seeds Dataset
    • STN-PLAD Dataset
    • FER2013 Dataset
    • Adience Dataset
    • PPM-100 Dataset
    • CelebA Dataset
    • Fashion MNIST Dataset
    • Google Objectron Dataset
    • CARPK Dataset
    • CACD Dataset
    • Flickr30k Dataset
    • Kuzushiji-Kanji (KKanji) dataset
    • KMNIST
    • EMNIST Dataset
    • USPS Dataset
    • MARS Dataset
    • HICO Classification Dataset
    • NSynth Dataset
    • RESIDE dataset
    • Electricity Dataset
    • DRD Dataset
    • Caltech 256 Dataset
    • AFW Dataset
    • PACS Dataset
    • TIMIT Dataset
    • KTH Actions Dataset
    • WIDER Face Dataset
    • WISDOM Dataset
    • DAISEE Dataset
    • WIDER Dataset
    • LSP Dataset
    • UCF Sports Action Dataset
    • Wiki Art Dataset
    • FIGRIM Dataset
    • ANIMAL (ANIMAL10N) Dataset
    • OPA Dataset
    • DomainNet Dataset
    • HAM10000 Dataset
    • Tiny ImageNet Dataset
    • Speech Commands Dataset
    • 300w Dataset
    • Food 101 Dataset
    • VCTK Dataset
    • LOL Dataset
    • AQUA Dataset
    • LFPW Dataset
    • ARID Video Action dataset
    • NABirds Dataset
    • SQuAD Dataset
    • ICDAR 2013 Dataset
    • Animal Pose Dataset
  • Folder icon closed Folder open iconDeep Lake Docs Home
  • Folder icon closed Folder open iconDataset Visualization
  • Folder icon closed Folder open iconAPI Basics
  • Folder icon closed Folder open iconStorage & Credentials
  • Folder icon closed Folder open iconGetting Started
  • Folder icon closed Folder open iconTutorials (w Colab)
  • Folder icon closed Folder open iconPlaybooks
  • Folder icon closed Folder open iconData Layout
  • Folder icon closed Folder open iconShuffling in ds.pytorch()
  • Folder icon closed Folder open iconStorage Synchronization
  • Folder icon closed Folder open iconTensor Relationships
  • Folder icon closed Folder open iconQuickstart
  • Folder icon closed Folder open iconHow to Contribute
Datasets

WIDER Dataset

Estimated reading: 3 minutes 3288 views

Visualization of WIDER dataset in the Deep Lake UI

WIDER dataset

What is WIDER Dataset?

The WIDER dataset is used for complex event recognition from static images. It contains 61 event categories and around 50574 images annotated with event class labels. Half of the dataset is training data, and half of the dataset is for testing.

Download WIDER Dataset in Python

Instead of downloading the WIDER dataset in Python, you can effortlessly load it in Python via our Deep Lake open-source with just one line of code.

Load WIDER Dataset Training Subset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/wider-train')
				
			

Load WIDER Dataset Testing Subset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/wider-test')
				
			

WIDER Dataset Structure

WIDER Data Fields
  • images: tensor containing the image.
  • labels: tensor to represent image label categories.
WIDER Data Splits
  • The WIDER dataset training set is composed of 25275 images.
  • The WIDER dataset testing set is composed of 25299 images.

How to use Wider Dataset with PyTorch and TensorFlow in Python

Train a model on WIDER dataset with PyTorch in Python

Let’s use Deep Lake built-in PyTorch one-line dataloader to connect the data to the compute:

				
					dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
				
			
Train a model on the WIDER dataset with TensorFlow in Python
				
					dataloader = ds.tensorflow()
				
			

Additional Information about WIDER Dataset

WIDER Dataset Description

  • Homepage: http://yjxiong.me/event_recog/WIDER/
  • Paper: Introduced by Xiong, Yuanjun and Zhu, Kai and Lin, Dahua and Tang, Xiaoou in Recognize Complex Events from Static Images by Fusing Deep Channels
  • Point of Contact: N/A
WIDER Dataset Curators

Xiong, Yuanjun and Zhu, Kai and Lin, Dahua and Tang, Xiaoou

WIDER Dataset Licensing Information
Deep Lake users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.
 
If you’re a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!
WIDER Dataset Citation Information
				
					@inproceedings{xiong2015wider,
  title={Recognize Complex Events from Static Images by Fusing Deep Channels},
  author={Xiong, Yuanjun and Zhu, Kai and Lin, Dahua and Tang, Xiaoou},
  booktitle={Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on},
  year={2015},
  organization={IEEE}
}
				
			

WIDER Dataset FAQs

What is the WIDER dataset for Python?

The WIDER dataset contains 61 event categories and around 50574 images annotated with event class labels. Half of the dataset is training data, and half of the dataset is for testing. The dataset is often used for complex event recognition from static images.

How can I use the WIDER dataset in PyTorch or TensorFlow?

You can stream the WIDER dataset while training a model in PyTorch or TensorFlow with one line of code using the open-source package Activeloop Deep Lake in Python. See detailed instructions on how to train a model on the WIDER dataset with PyTorch in Python or train a model on the WIDER dataset with TensorFlow in Python.

Datasets - Previous DAISEE Dataset Next - Datasets LSP Dataset
Share this Doc

WIDER Dataset

Or copy link

Clipboard Icon
CONTENTS
Leaf Illustration

© 2024 All Rights Reserved by Snark AI, inc dba Activeloop