racing
Datasets
All datasets matching “racing”TII-RATM-Drone-Racing
TII-RATM Drone Racing → FiftyOne (Native Multimodal MCAP)
The
TII-RATM
drone racing flights, as published with OpenVINS odometry in
alvgaona/tii-ratm-rosbag2,
converted to native multimodal MCAP episodes.
A quadrotor flies laps of a four-gate indoor track, three on an ellipse and
three on a lemniscate. It carries a fisheye camera and a 500 Hz IMU, and a
motion capture system watches the room throughout.
What makes the set useful is that both numbers are present: the estimate… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/TII-RATM-Drone-Racing.car-racingmultiplayer-racing-full-res
Gran Turismo 4 Multiplayer Data - Upsampler
This dataset contains video and action labels of 1v1 races in the PS2 game Gran Turismo 4 for upsampling purposes.
It was used to train the multiplayer world model Multiverse.
Note: this code is only used to train an upsampler model to increase the frame resolution and details from 35x53 to 350x530.
Data Structure
The dataset is comprised 1v1 races footage at 1 fps, split into .hdf5 files.
Each frame has a shpae of (350, 530, 6)… See the full description on the dataset page: https://huggingface.co/datasets/Enigma-AI/multiplayer-racing-full-res.horse-racing-france
French Horse Racing Dataset
Structured dataset of French horse racing covering 2014-01-01 → 2026-05-05,
restricted to French meetings.
This repository is provided "as is" under an other license.
Overview
Longitudinal collection of French race meetings with full race, runner, and
payout records. The data is split into four normalized tables, each exposed as
an independent Hub configuration.
Configuration
Description
Rows
reunions
Race meetings (one row… See the full description on the dataset page: https://huggingface.co/datasets/annaelmoussa/horse-racing-france.jp-racing-horsemultiplayer-racing-low-res
Gran Turismo 4 Multiplayer Data
This dataset contains video and action labels of 1v1 races in the PS2 game Gran Turismo 4.
It was used to train the multiplayer world model Multiverse.
Data Structure
The dataset is comprised of more than 4 hours of footage at 30 fps, split into .hdf5 files containing at most 1000 frames and actions each.
Each frame has a shpae of (48, 64, 6), representing 2 RGB frames stacked together along the channel axis. As can be seen in the following… See the full description on the dataset page: https://huggingface.co/datasets/Enigma-AI/multiplayer-racing-low-res.