README.md

metadata

license: etalab-2.0
language:
  - fr
tags:
  - panoramax
  - street-view
  - france
  - gps
  - ign
size_categories:
  - 1M<n<10M
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.parquet
dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: image
    - name: collection_id
      dtype: string
    - name: lat
      dtype: float64
    - name: lng
      dtype: float64
    - name: azimuth
      dtype: float64
    - name: datetime
      dtype: timestamp[us, tz=UTC]
    - name: sequence_rank
      dtype: int32
    - name: width
      dtype: int32
    - name: height
      dtype: int32
    - name: panoramax_url
      dtype: string
    - name: producer
      dtype: string
    - name: license
      dtype: string
    - name: original_filename
      dtype: string

Panoramax sig14 photos

Street-view photos from the IGN Panoramax instance, scraped from the user sig14 (Service d'Information Géographique du Calvados, France).

Each row is one street-level photo plus its GPS coordinates and camera heading.

Source

• API: https://panoramax.ign.fr/api
• User: sig14 (UUID 5215eca1-4a1b-40eb-a96c-5dc7ff2cc6d8)
• License: Etalab 2.0 (Open License)

Schema

field	type	description
id	string	Panoramax item UUID
image	Image	JPEG bytes, HD quality
collection_id	string	Sequence (collection) UUID
lat, lng	float64	WGS84 coordinates
azimuth	float64	Camera heading, 0–360° (0 = North, 90 = East)
datetime	timestamp(UTC)	When the photo was taken
sequence_rank	int32	Position of this photo in its sequence
width, height	int32	Image dimensions in pixels
panoramax_url	string	Link back to the photo on panoramax.ign.fr
producer	string	Always sig14 for this dataset
original_filename	string	Original filename on IGN side

Storage layout

One Parquet shard per Panoramax collection (sequence) — file naming data/collection={uuid}.parquet. Idempotent updates: re-running the scraper only fetches collections not yet present in the dataset.

Loading

from datasets import load_dataset
ds = load_dataset("rtrm/panoramax-sig14-photos", split="train", streaming=True)
for row in ds.take(5):
    print(row["lat"], row["lng"], row["azimuth"])
    row["image"].save(f'{row["id"]}.jpg')