Extended OpenTT Games Dataset: A table tennis dataset for fine-grained shot type and point outcome
Moamal Fadhil Abdul-Mahdi (1), Jonas Bruun Hubrechts (1), Thomas Martini J{\o}rgensen (1), and Emil Hovad (1) ((1) Department of Applied Mathematics, Computer Science, Technical University of Denmark, Richard Petersens Plads, Building 324, 2800 Kgs. Lyngby, Denmark)

TL;DR
This paper introduces an extended, richly annotated version of the OpenTTGames dataset, enabling detailed analysis of table tennis strokes, player postures, and rally outcomes for improved training, analytics, and model development.
Contribution
The authors provide a new extension to the OpenTTGames dataset with detailed, frame-accurate annotations of stroke types, player postures, and rally outcomes, supporting fine-grained tactical understanding.
Findings
Enhanced dataset with detailed annotations for strokes and postures.
Supports development of models for tactical shot and outcome prediction.
Openly released under permissive license for community use.
Abstract
Automatically detecting and classifying strokes in table tennis video can streamline training workflows, enrich broadcast overlays, and enable fine-grained performance analytics. For this to be possible, annotated video data of table tennis is needed. We extend the public OpenTTGames dataset with highly detailed, frame-accurate shot type annotations (forehand, backhand with subtypes), player posture labels (body lean and leg stance), and rally outcome tags at point end. OpenTTGames is a set of recordings from the side of the table with official labels for bounces, when the ball is above the net, or hitting the net. The dataset already contains ball coordinates near events, which are either "bounce", "net", or "empty_event" in the original OpenTTGames dataset, and semantic masks (humans, table, scoreboard). Our extension adds the types of stroke to the events and a per-player taxonomy so…
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Taxonomy
TopicsVideo Analysis and Summarization · Human Pose and Action Recognition · Sports Performance and Training
