RGBlack

↳ client: akqa impact   ↳ year: 2021



Film technology wasn’t developed to capture all skin tones.

For many years, white skin has been used as the standard to calibrate colours in photography using Shirley Cards. This made it difficult for Black skin tones to be portrayed with faithfulness, instead appearing either blurred, flat or shaded in photographic prints. This pattern has continued to be repeated in technologies and algorithms until today.

The RGBLACK movement was born to break these rules and change the perspective of those behind the cameras, showing that it is possible to overcome the technology created to favor only one skin type and portray the black beauty. 

HERO FILM // dir: juh almeida // prod co: pródigo

cena3
cena2
cena1
rgblack_16x9_akqa_end

BACKSTAGE

FRAMES_EXTRA_PR_1
FRAMES_EXTRA_PR3
FRAMES_EXTRA_PR2

SHIRLEY CARD LEGACY

Originally, the Shirley Card was a photo of a white woman with colour references, light exposure and density, which photographers and designers used to balance photographic printing machines to a standard considered normal, aiming to meet the needs of the dominant target market at the time.

In 1990, multiracial Shirley Cards were introduced to coincide with cameras capable of processing light and dark skin tones at the same time. However, these models still had a fair complexion and the updated cards were never widely adopted because they coincided with the emergence of digital photography.

rgblack_640x752px_oldshirley
rgblack_640x752px_newshirley
rgblack_site_CARDS_DEPARA_1
rgblack_site_CARDS_DEPARA_2
rgblack_site_CARDS_DEPARA_3

NEW SHIRLEYS // photos: mylena saza

 

rgblack_640x752px_modulegallery_3
rgblack_640x752px_modulegallery_1
rgblack_640x752px_modulegallery_5
rgblack_640x752px_modulegallery_4
rgblack_640x752px_modulegallery_2

NEW PERSPECTIVES

The rgblack.org platform contains new calibration cards designed for diverse skin types, plus information on the principles of lighting, beauty, colourimetry and more.

rgblacksite_newperspectives
rgblack_loop_1
rgblack_loop_3
rgblack_loop_4
rgblack_loop_2
rgblack_FRAMES_AI3

BIAS IN MACHINE LEARNING ALGORITHMS

Today, most AI tools used for image editing have been trained to see human faces using huge digital image libraries that contain bias.

Studies have shown that it is challenging to identify or eliminate these biases. The result of their use is that real people are misrepresented or excluded, just as Shirley Cards were designed to do.

*MORE CONTENT SOON

rgblack_FRAMES_AI2

SOCIAL

rgblack_mosaico_Instagram_v1_01
rgblack_mosaico_Instagram_v1_04
rgblack_mosaico_Instagram_v1_07
rgblack_mosaico_Instagram_v1_02
rgblack_mosaico_Instagram_v1_05
rgblack_mosaico_Instagram_v1_08
rgblack_mosaico_Instagram_v1_03
rgblack_mosaico_Instagram_v1_06
rgblack_mosaico_Instagram_v1_09

OOH MEDIA

OOH_rgblack_rafa
OOH_rgblack_luma
OOH_rgblack_karen
rgblack_ooh_2
rgblack_ooh_3
rgblack_ooh_1
rgblack_site_FRONTPAGE-ing

↰ home

Cadu Bussad © Creative Art Director. All Rights Reserved ® 2024