Dataset · Hugging Face

anthonytec2/OctoSense

Name: OctoSense
Creator: anthonytec2
License: mit
Keywords: task_categories:depth-estimation, task_categories:image-segmentation, task_categories:robotics, license:mit, size_categories:n<1K, format:parquet, modality:image, modality:text, modality:video, modality:geospatial, modality:3d, modality:timeseries, library:datasets, library:pandas, library:polars

New to OctoSense? A getting-started Colab notebook walks through loading a sequence and using each modality. Click Open in Colab above to run it in your browser, no setup required. OctoSense is a time-synchronized, calibrated, multi-sensor dataset spanning multiple platforms, all sharing the same sensor rig. The bulk of the data is large-scale driving dataset: 371 sequences · 59 hrs · 2,474 km · 8.43 TB of urban, suburban, and rural driving… See the full description on the dataset page: https://huggingface.co/datasets/anthonytec2/OctoSense.

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Author / organization	anthonytec2
License (as declared)	mit
Downloads	6.8K (as reported by Hugging Face)
Likes	35
Created	11 June 2026
Last updated at source	6 August 2026

roboticsmultimodalautonomous-drivingquadrupedmarinelidarevent-camerastereooptical-flowego-motionsensor-fusioninfraredgpsgeospatial3dtimeseries

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