{
  "slug": "apolloscape",
  "name": "apolloscape",
  "description": "The ApolloScape dataset is a large-scale, richly labeled open dataset for autonomous driving, providing holistic semantic dense point cloud, stereo, per-pixel semantic labelling, lanemark labelling, instance segmentation, 3D car instance, and high-accurate location for every frame in various driving videos from multiple sites, cities and daytimes. It aims to address the bottleneck of large-scale data for training and evaluating robust perception models for self-driving cars.",
  "url": "https://optimly.ai/brand/apolloscape",
  "websiteUrl": "https://arxiv.org/",
  "logoUrl": "https://logo.clearbit.com/arxiv.org",
  "baiScore": 60,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Training Data & Collection Services",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-03T02:03:40.497Z",
  "verifiedVitals": {
    "website": "https://arxiv.org",
    "category": "Autonomous driving dataset",
    "what_it_does": "ApolloScape provides a large-scale, richly labeled open dataset for autonomous driving research and system evaluation. It includes holistic semantic dense point clouds, stereo images, per-pixel semantic labeling, lanemark labeling, instance segmentation, 3D car instances, and high-accuracy location data from various driving videos across multiple sites, cities, and daytimes.",
    "primary_audience": "Researchers and developers in the fields of autonomous driving, computer vision, and machine learning.",
    "core_product": "The ApolloScape Open Dataset for Autonomous Driving.",
    "pricing_model": {
      "kind": "free",
      "detail": "ApolloScape is an open dataset."
    },
    "named_competitors": [
      "KITTI",
      "Cityscapes",
      "BDD100K"
    ]
  },
  "intentTags": null,
  "businessProfileClaims": [],
  "timestamp": 1789857120350
}