CC BY-NC-SA 4.0 All datasets licensed under CC BY-NC-SA 4.0

Emirates Multi-Task (EMT) Dataset

Emirates Multi-Task (EMT) is a comprehensive dataset for autonomous driving research, containing 57 minutes of diverse urban traffic footage from the Gulf Region. The dataset provides rich semantic annotations across two agent categories: people (pedestrians and cyclists), vehicles (seven classes). Each video segment spans 2.5-3 minutes, capturing challenging real-world scenarios:

  • Dense Urban Traffic: Complex multi-agent interactions in congested scenarios
  • Weather Variations: Clear and rainy conditions
  • Visual Challenges: High reflections from road surfaces and adverse weather combinations (rainy nights)

More details can be found in the download page and paper.

Unified LiDAR Perception for High-Speed Autonomous Racing

EagleVision is a LiDAR-based perception benchmark spanning real-world competition data from the Abu Dhabi Autonomous Racing League (A2RL) and the Indy Autonomous Challenge (IAC), together with high-fidelity simulator ground-truth. All domains are standardized into a common coordinate and annotation convention for consistent cross-domain evaluation.

  • 28,056 total labeled frames
  • 3 domains: IAC, A2RL Simulator, A2RL Real-World
  • Tasks: 3D object detection (single class: Car) and trajectory prediction
  • Class: Competition vehicle / autonomous racing vehicle
  • Unified PSR JSON schema: center (x,y,z), size (l,w,h), yaw
  • Ego-vehicle LiDAR frame with no motion compensation

Get the Dataset • View Dataset Details

Off-Road Open Desert Trail Detection (O2DTD) Dataset

O2DTD is the first dataset on desert freespace detection, collected with six different light conditions (dawn, morning, afternoon, sunset, twilight, and night), containing a total of 5,045 RGB images.

Khalifa University’s Autonomous Shuttle (KUAS) Dataset

The dataset includes around twenty minutes of unlabeled data (A set of 8 LiDARs, Monochrome Cameras, IMU, GPS) captured from an Autonomous Shuttle that is deployed and operated in Khalifa University, SAN Campus, UAE.