Omkar2118/datasets huggingface dataset:
MUSES
Full name: MUlti-Shot EventS

MUSES is a large-scale dataset for temporal event (action) localization. It focuses on the temporal localization of multi-shot events, which are captured with multiple shots. Such events often appear in edited videos, such as TV shows and movies. 

What’s included in MUSES:

* 3,697 videos of TV and movie dramas
* 716 hours of duration
* 25 event categories
* 652k shots
* 31,477 annotated event instances

Introducing paper: Multi-shot Temporal Event Localization: a Benchmark
ICR
Full name: Image-Caption Retrieval Dataset

In this dataset, we collect 200,000 image-text pairs. Each image has a corresponding caption text, which describes the image in detail. It contains two subtasks: 
image-to-text retrieval and text-to-image retrieval tasks.

Introducing paper: CCMB: A Large-scale Chinese Cross-modal Benchmark
IQR
Full name: Image-Query Retrieval Dataset

IQR is proposed for the image-text retrieval task. We use 200,000 queries and the corresponding images as the annotated image-query pairs.

Introducing paper: CCMB: A Large-scale Chinese Cross-modal Benchmark
Flickr30k-CNA
Full name: Flickr30k-Chinese All

Former Flickr30k-CN translates the training and validation sets of Flickr30k using machine translation and manually translates the test set. We check the machine-translated results and find two kinds of problems. (1) Some sentences have language problems and translation errors. (2) Some sentences have poor semantics. In addition, the different translation ways between the training set and test set prevent the model from achieving accurate performance. We gather 6 professional English and Chinese linguists to meticulously re-translate all data of Flickr30k and double-check each sentence.

Introducing paper: CCMB: A Large-scale Chinese Cross-modal Benchmark
OUMVLP

The OU-ISIR Gait Database, Multi-View Large Population Dataset (OU-MVLP) is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for cross-view gait recognition. The Institute of Scientific and Industrial Research (ISIR), Osaka University (OU) has copyright in the collection of gait video and associated data and serves as a distributor of the OU-ISIR Gait Database.

The data was collected in conjunction with an experience-based long-run exhibition of video-based gait analysis at a science museum. The approved informed consent was obtained from all the subjects in this dataset. The dataset consists of 10,307 subjects (5,114 males and 5,193 females with various ages, ranging from 2 to 87 years) from 14 view angles, ranging 0°-90°, 180°-270°. Gait images of 1,280 x 980 pixels at 25 fps are captured by seven network cameras (Cam1-7) placed at intervals of 15-deg azimuth angles along a quarter of a circle whose center coincides with the center of the walking course. Its radius is approximately 8 m and height is approximately 5 m.