harpreetsahota/yuto-mms-multimodal

YUTO MMS Multimodal

This Space runs the open source FiftyOne App in a Hugging Face Docker Space, loaded with a multimodal sample of the YUTO MMS (York University Teledyne Optech Mobile Mapping System) dataset — a SLAM benchmark from the AUSM Lab at York University. Each sample is one episode authored as a single .mcap file: a tilted Velodyne HDL-32E LiDAR (real-RGB-colorized from the panoramic camera), a 6-lens Ladybug 5 panoramic camera stitched into one 8000x4000 equirectangular image, GPS/INS, and IMU, from a vehicle driven around a parking lot at Teledyne Optech HQ (Vaughan) and York University's Keele Campus (Toronto). There are no object/semantic labels — this is raw synchronized sensor data plus a photogrammetric 6-DOF ground-truth camera trajectory, for SLAM/odometry benchmarking.

The Space loads `harpreetsahota/yuto-mms-multimodal` into local ephemeral storage before FiftyOne starts. The dataset is downloaded again whenever Hugging Face provisions a fresh container.

Each browser receives a temporary clone of the dataset records while all clones share the same read-only media. Filters, modal selection, playback, tags, fields, and saved views therefore remain isolated between visitors. Inactive clones expire after 30 minutes, cleanup runs every five minutes, and the Space allows at most 20 active browser sessions.

Use your own datasets

Duplicate this Space and edit `datasets.json` to replace or extend the dataset list. Each entry must point to a FiftyOne-formatted Hub dataset and an absolute local download path, then rebuild.