DATASET

Keypoints-labeling of facial points on people's photos. The dataset solves the tasks of face recognition and emotion analysis

Computer Vision

Facial Recognition

Emotion Recognition

Data Labeling

Technical
specifications

Each face is placed using 15 keypoints

Photos and selfies of people are collected using parsing and crowdsourcing

Labeled Keypoints:

Left eye, the closest point to the nose

Left eye, the closest point to the left ear

Right eye, the closest point to the nose

Right eye, pupil's center

Left eye, pupil's center

Right eye, the closest point to the right ear

Left eyebrow, the closest point to the left ear

Right eyebrow, the closest point to the nose

Right eyebrow, the closest point to the right ear

Left eyebrow, the closest point to the nose

Mouth, left corner point

Nose, center

Mouth, right corner point

Mouth, the highest point in the middle

Mouth, the lowest point in the middle

Each image from FKP folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the key points. For each point, the x and y coordinates are provided

And there is a Presumed_Location attribute, indicating whether the point is presumed or accurately defined

Our services

Data Collection of tens of thousands of photos with metadata of gender, age of people and country of residence using crowdsourcing of tens of thousands of photos with metadata of gender, age of people and country of residence

Facial Keypoint Detection of required facial points with attributes of the assumed location

Classification of emotions, face orientation, Bounding Box labelling, as well as semantic segmentation for people's selfies