Omkar2118/datasets huggingface dataset:
TIMIT
Full name: TIMIT Acoustic-Phonetic Continuous Speech Corpus

The **TIMIT** Acoustic-Phonetic Continuous Speech Corpus is a standard dataset used for evaluation of automatic speech recognition systems. It consists of recordings of 630 speakers of 8 dialects of American English each reading 10 phonetically-rich sentences. It also comes with the word and phone-level transcriptions of the speech.

Source: [Improving neural networks by preventing co-adaptation of feature detectors](https://arxiv.org/abs/1207.0580)
Image Source: [https://roboticrun.wordpress.com/2016/06/21/timit-introduction-the-official-doc/](https://roboticrun.wordpress.com/2016/06/21/timit-introduction-the-official-doc/)
Collective Activity

The **Collective Activity** Dataset contains 5 different collective activities: crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which were recorded by consumer hand-held digital camera with varying view point.

Source: [http://vhosts.eecs.umich.edu/vision//activity-dataset.html](http://vhosts.eecs.umich.edu/vision//activity-dataset.html)
Image Source: [http://vhosts.eecs.umich.edu/vision//activity-dataset.html](http://vhosts.eecs.umich.edu/vision//activity-dataset.html)

Introducing paper: Improved Actor Relation Graph based Group Activity Recognition
PASCAL VOC 2007
Full name: PASCAL VOC 2007

**PASCAL VOC 2007** is a dataset for image recognition. The twenty object classes that have been selected are:

Person: person
Animal: bird, cat, cow, dog, horse, sheep
Vehicle: aeroplane, bicycle, boat, bus, car, motorbike, train
Indoor: bottle, chair, dining table, potted plant, sofa, tv/monitor

The dataset can be used for image classification and object detection tasks.

Image Source: [Object Detection and Recognition in Images](https://arxiv.org/abs/1708.01241)
CASIA-B
Full name: CASIA-B

CASIA-B is a large multiview gait database, which is created in January 2005. There are 124 subjects, and the gait data was captured from 11 views. Three variations, namely view angle, clothing and carrying condition changes, are separately considered. Besides the video files, we still provide human silhouettes extracted from video files. The detailed information about Dataset B and an evaluation framework can be found in this paper .

The format of the video filename in Dataset B is 'xxx-mm-nn-ttt.avi', where

    xxx: subject id, from 001 to 124.
    mm: walking status, can be 'nm' (normal), 'cl' (in a coat) or 'bg' (with a bag).
    nn: sequence number.
    ttt: view angle, can be '000', '018', ..., '180'.