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Dataset · Hugging Face

netryx-hub/moscow-1km-1km

Moscow-1Km 1km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 55.756900, 37.615100 Radius: 1.0 km Panoramas: 8,624 Index entries: 34,496 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from netryx_hub import NetryxHub hub = NetryxHub() hub.download("moscow-1km-1km", output_dir="./netryx_data/index") # Now open Netryx and search! Or download manually and use Import Index in the Netryx GUI.… See the full description on the dataset page: https://huggingface.co/datasets/netryx-hub/moscow-1km-1km.

Author / organizationnetryx-hub
License (as declared)cc-by-4.0
Downloads272 (as reported by Hugging Face)
Likes2
Created22 March 2026
Last updated at source22 March 2026
netryxgeolocationvisual-place-recognitionmegalocosint
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  • 17 Oct 2026 Description: Moscow-1Km 1km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 55.756900, 37.615100 Radius: 1.0 km Panoramas: 8,624 Index entries: 34,496 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from → Moscow-1Km 1km Pre-computed MegaLoc index for Netryx Drishti geolocation. Coverage Center: 55.756900, 37.615100 Radius: 1.0 km Panoramas: 8,624 Index entries: 34,496 Descriptor model: MegaLoc Descriptor dim: 1024 (PCA from 8448) Usage from

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