This dataset describes a collection of 700 different leaders throughout European history across 22 different states. Each leader is described by eight different categories of information: first name, last name/title, the century they ruled, the state in which they ruled, their formal position, their dynasty/family/political party, cause of death, and years of reign. This information can be used for training neural networks targeted at high level associative learning.
BTH Trucks in Aerial Images Dataset contains videos of 17 flights across two industrial harbors' parking spaces over two years.
With the rapid development of augmented reality
With the rapid development of augmented reality
This dataset contains 4669820 ratings from 1499238 users to 351109 movies on the imdb.com website. This data is collected from reviews (https://www.imdb.com/review/rw0000001/). Each row in this dataset is as follows:
userID, movieID, rating, review date
For example :
ur18238764, tt2177461, 9, 22 January 2019
This paper produces a data set containing 1127 images, using VOC12 format, the size of the image is 3840*2160, and the corresponding relation of file names
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Semantic segmentation is the topic of interest among deep learning researchers in the recent era. It has many applications in different domains including, food recognition. In the case of food recognition, it removes the non-food background from the food portion. There is no large public food dataset available to train semantic segmentation models. We prepared a dataset named ’SEG-FOOD’[44] containing images of FOOD101, PFID, and Pakistani Food dataset and open-sourced the annotated dataset for future research. We annotated the images using JS Segment annotator.
