More Basketball Image Dataset images
Description. This is an image dataset for all NBA Players from the 2019-20 season. There are about 50 - 80 images for each player and its sorted folder-wise to make labelling easier. I have not filtered out all photos so there may be some photos that may not belong to the player. All these images were scraped from Google images.
This dataset is updated daily and contains data on all games, all teams, and all players within the NBA including: 60,000+ games (every game since the first NBA season in 1946-47) including for the games in which the statistics were recorded: Box scores, Game summaries, Officials, Inactive players, Linescores, Last face-off stats, Season series info, Game video availability.
This repository maintains the NBA2K dataset of our ECCV 2020 paper 'Reconstructing NBA Players'. We collect RGB images, triangle meshes with UV coordinates, texture maps, 3D human poses and camera projection matrix from the NBA2K19 game engine. Our dataset has large diversity in basketball poses and provides industry-level clothed basketball player meshes.
Overview. This dataset contains data about NCAA Basketball games, teams, and players. Game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases.
To solve this problem, in this system, it have a dataset that challenged a basketball game by annotating detailed actions in a video. Adaptive Multi-Label Classification methods for basketball action recognition benchmark also provides data about the system. In addition, this method is proposed to integrate the FPGA into a network of two data streams in order to find the finest areas of basketball action recognition and extracts the features of the recognition system.
Paintings, drawings, pictures, etc., etc. I am very interested in data on art exhibitions. This data appears to be much harder to find. Some very good examples are the Museum of Modern Art Exhibition history or the Smithsonian Institute research information center Art exhibition Catalogue. Does anybody know more of such datasets?
The pull initially contained 52 rows of missing data. The gaps have been manually filled using data from Basketball Reference. I am not aware of any other data quality issues. Analysis Ideas. The data set can be used to explore how age/height/weight tendencies have changed over time due to changes in game philosophy and player development ...
Dataset. As mentioned above, the SpaceJam Basketball Action Dataset was used to train the R(2+1)D CNN model for video/action classification of basketball actions. The Repo contains two datasets (clips->.mp4 files and joints -> .npy files) of basketball single-player actions. The size of the two final annotated datasets is about 32,560 examples.
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