portrait_1
image
| photo_1
image
| photo_2
image
| photo_3
image
| photo_4
image
| photo_5
image
| photo_6
image
| photo_7
image
| photo_8
image
| photo_9
image
| photo_10
image
| photo_11
image
| photo_12
image
| photo_13
image
| photo_14
image
| photo_15
image
| photo_16
image
| photo_17
image
| photo_18
image
| photo_19
image
| photo_20
image
| photo_21
image
| photo_22
image
| photo_23
image
| photo_24
image
| photo_25
image
| photo_26
image
| worker_id
string
| age
int8
18
48
| country
string
| gender
string
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"00fc9846ff346dcc73d8ed05d7766bcb" | 39 | "PH" | "FEMALE" |
|||||||||||||||||||||||||||
"0105515592348cc19375278371f65fd2" | 31 | "IN" | "MALE" |
|||||||||||||||||||||||||||
"0639f062ebee7f31ccafb5e2bcb570ef" | 30 | "PK" | "MALE" |
|||||||||||||||||||||||||||
"06421a0f6347119bd7c73631e4888bbe" | 20 | "IN" | "MALE" |
|||||||||||||||||||||||||||
"078f58fe3282e05aa9ec45de1d300725" | 22 | "PH" | "FEMALE" |
|||||||||||||||||||||||||||
"091bf0849dbdc353cd5cc31a811cf13d" | 48 | "PK" | "MALE" |
|||||||||||||||||||||||||||
"0bc744379cd05bc4d4f526405808073e" | 28 | "PK" | "MALE" |
|||||||||||||||||||||||||||
"0c37e22e51e6e29c38f05b87cc7a23e2" | 18 | "IN" | "FEMALE" |
|||||||||||||||||||||||||||
"0e8ee63df42e6ace20f61749b4f6274b" | 29 | "PH" | "MALE" |
|||||||||||||||||||||||||||
"0efc517454612e3e80624b95b93fc5d0" | 19 | "PH" | "FEMALE" |
|||||||||||||||||||||||||||
"0ff4d24098b3110ecfc0a7198e080a4b" | 24 | "BY" | "FEMALE" |
|||||||||||||||||||||||||||
"1067911ca113c7980cd12b5b3ea4af54" | 35 | "PH" | "FEMALE" |
|||||||||||||||||||||||||||
"10b32095dd911e24bfc46d2c4e23b5aa" | 28 | "NP" | "MALE" |
|||||||||||||||||||||||||||
"10dc56f24b708a7338aa018d5099555e" | 27 | "NG" | "MALE" |
The Portrait and 26 Photos (272 people)
Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, …, photo_26).
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
The Portrait
The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:
- The person is pictured alone;
- Shoulder-length photo;
- No sunglasses or medical mask on the face;
- The face is calm, with no smiling or gesturing.
26 Photos
The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends.
File with the extension .csv
includes the following information for each media file:
- WorkerId: the identifier of the person who provided the media file,
- Age: the age of the person,
- Country: the country of origin of the person,
- Gender: the gender of the person,
- Type: a unique identifier of a set of 26 media files,
- Link: the URL to access the media file
Folder "img" with media files
- containg all the photos
- which correspond to the data in the .csv file
How it works: go to the folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 lines of the .csv file.
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
- Downloads last month
- 4