format_version string | name string | description null | creator string | created_at timestamp[s] | center_lat float64 | center_lon float64 | radius_km float64 | num_entries int64 | num_panoids int64 | descriptor_dim int64 | raw_descriptor_dim int64 | descriptor_model string | pca_components int64 | heading_step_deg int64 | crop_fov_deg int64 | crop_size_px int64 | tags list | file_size_bytes int64 | sha256 string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2.0 | Nyc-Core-Usethis 13km | null | sparkyniner | 2026-07-22T21:40:59 | 40.7132 | -74.0025 | 13 | 2,652,336 | 663,084 | 1,024 | 8,448 | MegaLoc | 1,024 | 90 | 90 | 256 | [
"netryx",
"netryx-nyc-core-usethis",
"newyork",
"geolocation",
"manhattan",
"brooklyn"
] | 10,192,147,939 | cd958de84c3eb75be3b4a9f888641c027814df47dbfca29320f9e46edc9cd400 |
Nyc-Core-Usethis 13km
Pre-computed MegaLoc index for Netryx Drishti geolocation.
Coverage
- Center: 40.713200, -74.002500
- Radius: 13.0 km
- Panoramas: 663,084
- Index entries: 2,652,336
- Descriptor model: MegaLoc
- Descriptor dim: 1024 (PCA from 8448)
Usage
from netryx_hub import NetryxHub
hub = NetryxHub()
hub.download("nyc-core-usethis-13km", output_dir="./netryx_data/index")
# Now open Netryx and search!
Or download manually and use Import Index in the Netryx GUI.
Details
- Heading step: 90°
- Crop FOV: 90°
- Crop size: 256px
- Created: 2026-07-22T21:40:59Z
- Created by: sparkyniner
- Tags: netryx, netryx-nyc-core-usethis, newyork, geolocation, manhattan, brooklyn
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