Explore Indoor Worlds in 2D and 3D: Big Open Dataset for Home and Office Scenes
Ever wondered how computers learn rooms? This new collection of indoor scans lets anyone see the same places as photos, depth maps and 3D models. It covers over 6,000 m2 and contain more than 70,000 images, including regular photos and wide 360° views. You get color, distance cues and surface direction info, plus aligned 3D meshes and point clouds that match the pictures. That means a model can learn from both pictures and shapes at the same time, or try to learn without many labels, if you like. The data is great for building apps that understand rooms, find furniture or help robots move inside them. It’s easy to begin using, and it opens up new ways to mix 2D and 3D thinking, people …
Explore Indoor Worlds in 2D and 3D: Big Open Dataset for Home and Office Scenes
Ever wondered how computers learn rooms? This new collection of indoor scans lets anyone see the same places as photos, depth maps and 3D models. It covers over 6,000 m2 and contain more than 70,000 images, including regular photos and wide 360° views. You get color, distance cues and surface direction info, plus aligned 3D meshes and point clouds that match the pictures. That means a model can learn from both pictures and shapes at the same time, or try to learn without many labels, if you like. The data is great for building apps that understand rooms, find furniture or help robots move inside them. It’s easy to begin using, and it opens up new ways to mix 2D and 3D thinking, people are already surprised by results. Try it if you care about better indoor mapping and smart home tech, it may spark new ideas for projects big and small.
Read article comprehensive review in Paperium.net: Joint 2D-3D-Semantic Data for Indoor Scene Understanding
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