Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Yellow Sun Face Mural on Building Wall

Yellow Sun Face Mural on Building Wall

Caption

Massimo Campigli captures the artistry of this graffiti painting in 2012 at the WBTLA camp 2012.

BLIP-2 Description:

a yellow sun face on a wall

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Metadata

Capture date:

Thursday, July 26th, 2012 at 10:05:58 AM

Original Dimensions:

5616w x 3744h - (download 4k)

Usage

Usage and Licensing

Celebs

Massimo Campigli (86%) ↗

Tags

street baby drawing cream wall weintray toy massimo campigli mural graffiti food icing document building dessert painting architecture wbtla camp art

Detected Text

Albums

Photo Archive/2012/wbtla_camp_2012_5d2 wbtla_camp_2012_5d2

Places

Venues

EXIF Data:

iso

100

metering mode

5

aperture

f/2.8

focal length

35mm

shutter speed

1/1600s

camera make

Canon

camera model

Canon EOS 5D Mark II

lens model

Canon EF 16-35mm f/2.8L II USM

Apple Photos ML Scores

overall (42.85%)

curation (50.00%)

highlight visibility (3.89%)

behavioral (10.08%)

failure (-0.20%)

harmonious color (4.91%)

immersiveness (0.05%)

interaction (1.00%)

interesting subject (-19.30%)

intrusive object presence (-6.86%)

lively color (16.78%)

low light (5.25%)

noise (-9.25%)

pleasant camera tilt (-1.63%)

pleasant composition (-12.02%)

pleasant lighting (15.12%)

pleasant pattern (9.20%)

pleasant perspective (14.65%)

pleasant post processing (-0.64%)

pleasant reflection (-1.61%)

pleasant symmetry (0.76%)

sharply focused subject (12.11%)

tastefully blurred (16.85%)

well chosen subject (-11.40%)

well framed subject (57.18%)

well timed shot (11.87%)

all (8.19%)

* NOTE: Amazon Rekognition detected a celebrity in this image using the Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display next to the celebrity's name along with links _↗ to their info.

* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301 from OpenAI) based on a BLIP-2 image-to-text labeling, tags, location, people and album metadata from the image and are potentially inaccurate, often hilariously so. If you'd like me to adjust anything, just reach out.