Face Detection and Re-identification, Faces Dataset

The dataset is created on the basis of Selfies and ID Dataset

This dataset comprises a collection of 6 photos of 50 people, split into two folders: "train" and "test". The "train" folder contains 5 images, while the "test" folder contains 1 image to evaluate the trained model's performance.

The dataset contains a variety of images capturing individuals from diverse backgrounds, age groups, and ethnicities.

The dataset can be utilized for a wide range of tasks, including face recognition, emotion detection, age estimation, gender classification, or any problem related to human image analysis.

For Commercial Usage: Full version of the dataset includes 95 000+ photos of people, leave a request on TrainingData to buy the dataset

Metadata for the full dataset:

• assignment_id - unique identifier of the media file
• worker_id - unique identifier of the person
• age - age of the person
• true_gender - gender of the person
• country - country of the person
• ethnicity - ethnicity of the person
• photo_1_extension, photo_2_extension, …, photo_15_extension - photo extensions in the dataset
• photo_1_resolution, photo_2_resolution, …, photo_15_resolution - photo resolution in the dataset

OTHER BIOMETRIC DATASETS:

• Anti Spoofing Real Dataset
• Antispoofing Replay Dataset
• Selfies, ID Images dataset (5591 sets of 15 files)
• Selfies and video dataset (4 052 sets)
• Dataset of bald people, 5000 images

Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to learn about the price and buy the dataset

Content

The dataset is split into train and test folders, each folder includes:

• train - contains folders 0, 1, …, 49 with 5 images of each person in the dataset,
• test - contains image of each person in the dataset corresponding to the number of the subfolder in the train folder,
• .csv file - contains information about the images and people in the dataset

File with the extension .csv

• person: id of the person,
• file_1: link to access the first photo,
• file_2: link to access the second photo,
• file_3: link to access the third photo,
• file_4: link to access the fourth photo,
• file_5: link to access the fifth photo,
• test: link to access the test photo

TrainingData provides high-quality data annotation tailored to your needs

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