Datasets:
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
OpenTTGames ball-detection YOLOv8 subset
A YOLOv8-format training subset extracted from the
OpenTTGames dataset. Every source-video frame for
which OpenTTGames provides a ball-centre annotation is included as a
single JPEG + a single-row YOLO label (class 0 = ball).
Dataset viewer note. The viewer above only renders the JPEG images. Per-frame YOLO bounding-box labels live alongside each image at
labels/<match_id>/<frame_index>.txt, one label file per image, paired by filename. The viewer doesn't render the bbox overlays. Consume the dataset via Ultralytics / your training pipeline of choice to get image + label pairs.
Source
Derivative work of OpenTTGames, the table-tennis perception dataset by OSAI. The original dataset is described in:
Voeikov, R., Falaleev, N., & Baikulov, R. (2020). TTNet: Real-time temporal and spatial video analysis of table tennis. arXiv:2004.09927. https://arxiv.org/abs/2004.09927
Original archives at https://lab.osai.ai/datasets/openttgames/data/ —
<match>.mp4 + <match>.zip siblings, twelve matches total
(game_1–game_5 train, test_1–test_7 test).
License
This subset is licensed under CC BY-NC-SA 4.0, matching the source dataset's license. By the ShareAlike clause, any further derivatives must also be licensed under CC BY-NC-SA 4.0 or a compatible license. NonCommercial use only.
Attribution: OSAI, https://lab.osai.ai/ — see citation above. See the
LICENSE file in this repo for the full text reference.
Extraction recipe
For every frame whose integer index appears as a key in the match's
ball_markup.json (i.e. every frame OpenTTGames has annotated with a
ball-centre point):
- Seek the source mp4 to that frame index.
- JPEG-encode the decoded frame (quality 95).
- Emit a YOLO label with a single row: class
0(ball), centre at the annotated(x, y)pixel coordinate, bounding box a fixed 32 px square (16 px half-size), normalised against the frame dimensions.
Frames absent from ball_markup.json (ball occluded, out of frame, or
not annotated) are not included.
Layout
images/<match_id>/<frame_index>.jpg
labels/<match_id>/<frame_index>.txt
data.yaml
README.md
LICENSE
Where <match_id> is one of game_1..game_5 (train) or
test_1..test_7 (test).
Class map
| id | name |
|---|---|
| 0 | ball |
Intended use
Research and non-commercial single-class ball-detection model training. No commercial use.
- Downloads last month
- -