Handball Action Dataset

Handball Action Dataset

Datasets

Handball Action Dataset

File

Handball Dataset

Use Case

Handball Dataset

Description

Explore the Handball Action Dataset featuring 751 full HD videos of seven distinct handball actions. Ideal for AI model training, sports analytics, and performance analysis.

Description:

The Handball Action Dataset includes 751 videos capturing seven distinct handball actions: passing, shooting, jump-shot, dribbling, running, crossing, and defense. These videos were manually extract from handball practice sessions recorded with stationary GoPro cameras. The recordings, provide in full HD resolution (1920 × 1080) at over 30 frames per second, offer a detail view of each action.
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Details:

  • Recording Setup: Videos were shot from different angles with GoPro cameras mounted on the playground’s left or right side.
  • Player Details: On average, each scene features 12 players, with one or two players performing the action of interest.
  • Action Extraction: Actions were isolated using Mask RCNN detector and Deep SORT for tracking, followed by manual selection of the appropriate tracked player.

Dataset Structure:

  • scenes/: Contains mp4 videos with actions performed in the context of other players. Subdirectories are organized by action class.
  • actions/: Contains videos of isolated actions by single players, organized by performed action class. File names correspond to the original video from which the action was extracted.

Additional Content: This dataset is invaluable for training AI models in sports analytics, player behavior analysis, and performance enhancement. By providing isolated action clips, it enables precise action recognition and analysis, facilitating the development of robust computer vision models tailored for sports applications.

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