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Computer VisionScore 91

Autonomous Driving Clips

Contributor0x3a4b...5c6d
ListedMay 8, 2026
Purchases12

About this Dataset

10,000 short video clips (3–8 seconds each) captured from front-facing and side cameras mounted on a vehicle driven through 6 major cities. Each frame is annotated with bounding boxes for pedestrians, vehicles, cyclists, traffic signs, and lane markings. Annotations were produced using a semi-automated pipeline with human verification at 10fps keyframe intervals. LiDAR point-cloud data is provided for 40% of clips. HD map integration metadata is included for all sequences.

Validation Report

Quality Analysis

Quality Score93 / 100

Issues

  • !Night-scene coverage limited to 8% of total clips

Strengths

  • Frame-accurate bounding box annotations at 10fps
  • Multi-sensor data fusion (camera + LiDAR)
  • High urban environment diversity across 6 cities
  • HD map integration for ego-trajectory context

Category & Use Cases

Computer VisionVideo Object Detection for Autonomous Systems

Recommended Use Cases

Autonomous vehicle perception stacksPedestrian safety detectionTraffic sign and light recognitionLane-change prediction models

Originality Check

Similarity to Known Datasets9%

Proprietary capture routes with novel urban coverage. No meaningful intersection with NuScenes, KITTI, or Waymo Open Dataset.

Access Price

15.0OG

On-Chain Proof

Storage Hash

0xb5c6d7e8…b9c0d1e2

Report Hash

0xe4f5a6b7…d7e8f9a0
View on 0G Explorer

12

Total Purchases

May 8, 2026

Listed