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Insta360-Research/OmniRooms

Depth EstimationImage To 3DEnglishBenchmarkcc-by-nc-4.0

Insta360-Research/OmniRooms is a depth estimation benchmark dataset in English from Insta360-Research in Parquet format. It is distributed under the cc-by-nc-4.0 license and falls in the 100K<n<1M size category, and has been downloaded 32.5K times.

📊 This dataset is used as an LLM benchmark. See model leaderboards →

About Insta360-Research/OmniRooms

UniSHARP: Universal Sharp Monocular View Synthesis Meixi Song1 · Dizhe Zhang1,* · Hao Ren1 · Ruiyang Zhang1 · Bo Du2 · Ming-Hsuan Yang3 · Lu Qi1,2,* 1Insta360 Research · 2Wuhan University · 3University of California, Merced ...

Details

Task
Depth Estimation, Image To 3D
Language
English
Format
Parquet
Rows / instances
N/A
Size
100K<n<1M
Creator
Insta360-Research
Year
2026
License
cc-by-nc-4.0
Downloads
32479
Likes
4
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