---
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)](https://alliance.numerique.gouv.fr/licence-ouverte-open-licence/)

## 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

```python
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')
```