Charlotte-ThermalFace

Charlotte-ThermalFace is a thermal face dataset. The data is fully annotated with the facial landmarks, ambient temperature, relative humidity, the air speed of the room, distance to the camera, and subject thermal sensation at the time of capturing each image.

There are approximately 10,000 infrared thermal images from 10 subjects in varying thermal conditions, at several distances from the camera, and at changing head positions. We have also controlled the air temperature to change from 20.5°C ( 69°F) to 26.5 °C( 80°F). Images are available in four different temperatures, 10 relative distances from the camera, starting at 1m ( 3.3 ft) to 6.6m( 21.6 ft), and 25 head positions.

• The first public facial thermal dataset annotated with the environmental properties including air temperature, relative humidity, airspeed, distance from the camera, and subjective thermal sensation of each person at the time.

• All the images are manually annotated with 72 or 43 facial landmarks.

• We are publishing the data in the original 16-bit radiometric TemperatureLinear format, which has the thermal value of each pixel.