This dataset repository contains a subset of the UCF-101 dataset [1]. The subset archive was obtained using the code from this guide.

  References

[1] UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild, https://arxiv.org/abs/1212.0402.

Dataset

This dataset was created by Ziad Fellah-Idrissi

Contents

A copy of UCF-101 with ZIP files instead of RAR. See https://www.crcv.ucf.edu/data/UCF101.php for more info.

Classify video clips with natural scenes of actions performed by people visible in the videos.

See the UCF101 Dataset web page: https://www.crcv.ucf.edu/data/UCF101.php#Results_on_UCF101

This example datasets consists of the 10 most numerous video from the UCF101 dataset. For the top 5 version, see: https://doi.org/10.5281/zenodo.7924745 .

Based on this code: https://keras.io/examples/vision/video_classification/ (needs to be updated, if has not yet been already; see the issue: https://github.com/keras-team/keras-io/issues/1342).

Testing if data can be downloaded from figshare with `wget`, see: https://github.com/mojaveazure/angsd-wrapper/issues/10

For generating the subset, see this notebook: https://colab.research.google.com/github/sayakpaul/Action-Recognition-in-TensorFlow/blob/main/Data_Preparation_UCF101.ipynb -- however, it also needs to be adjusted (if has not yet been already - then I will post a link to the notebook here or elsewhere, e.g., in the corrected notebook with Keras example).

I would like to thank Sayak Paul for contacting me about his example at Keras documentation being out of date.

Cite this dataset as:

Soomro, K., Zamir, A. R., & Shah, M. (2012). UCF101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402. https://doi.org/10.48550/arXiv.1212.0402

To download the dataset via the command line, please use:

wget -q https://zenodo.org/record/7882861/files/ucf101_top10.tar.gz -O ucf101_top10.tar.gz
tar xf ucf101_top10.tar.gz

guyuchao/UCF101 dataset hosted on Hugging Face and contributed by the HF Datasets community

Action Detection UCF101

## Overview

Action Detection  UCF101 is a dataset for object detection tasks - it contains Action annotations for 491 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Context

Original dataset used for human action recognition in videos, provided by the Center for Research in Computer Vision at the University of Central Florida.

For more details, check out the sources of this dataset and respective links.

Content

Hash validation for the vanilla dataset:

> md5sum UCF101.rar 
6463accf4bbc20fa6418ab7f159e6149 UCF101.rar
> md5sum UCF101TrainTestSplits-RecognitionTask.zip 
4426308e815a5108ba976f4a2bb47c5e UCF101TrainTestSplits-RecognitionTask.zip

nateraw/ucf101 dataset hosted on Hugging Face and contributed by the HF Datasets community

The UCF101 and HMDB51 datasets are used for video recognition. The UCF101 dataset contains 101 action categories, while the HMDB51 dataset contains 51 classes.

UCF101 dataset

UCF101

## Overview

UCF101 is a dataset for classification tasks - it contains Actions annotations for 3,923 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

UCF101 dataset is used to test the proposed text-to-video model. The dataset contains 101 action categories, and each category has 10 videos. The videos are labeled with text descriptions.

UCF101 dataset

For personal research. Original dataset link is located here. Yes there's missing metadata because I'm only doing video compression tasks.

  license: mit

language: - en - zh

The UCF101-24 dataset is a subset of the UCF101 dataset, containing 3207 videos with spatio-temporal annotations on 24 action categories.

The authors used the UCF101, HMDB51, and Diving48 datasets to evaluate the performance of their proposed algorithm.

Dataset

This dataset was created by Sinan DÖNMEZ

Contents

bitmind/UCF101-Videos dataset hosted on Hugging Face and contributed by the HF Datasets community

The UCF-101 and HMDB-51 datasets are used for human action recognition.

Proposed architecture classification accuracy using UCF101 Dataset.

UCF-101 is a large-scale dataset of human actions in videos.