Returns
pd.DataFrame with people data.
Documentation Index
Fetch the complete documentation index at: /docs/llms.txt
Use this file to discover all available pages before exploring further.
Download identified people from facial recognition
client.people() -> pd.DataFrame
pd.DataFrame with people data.
from jmail import JmailClient
client = JmailClient()
people = client.people()
# People with the most photo appearances
top = people.sort_values("photo_count", ascending=False).head(20)
print(top[["name", "photo_count"]])
| Column | Type | Description |
|---|---|---|
id | int | Unique person ID |
name | string | Identified name |
source | string | Detection source |
photo_count | int | Number of photos containing this person |
https://data.jmail.world/v1/people.parquet
https://data.jmail.world/v1/people.ndjson.gz
