Photos | Walking among Legends
Claire Holt, Thomas Bangalter, Damien Chazelle, Wang Hao, Sandra Aguilar and 39 other people make their way down the street during FYF Bullock 2015, showcasing their unique sense of style and accessories.
BLIP-2 Description:
a crowd of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet summer damien boy urban plant baseball bullock festival footwear eos cap pedestrian tent hat tree road claire performance bag shoe city ii bron thomas bangalter shorts teen metropolis mark rekognition_c aguilar sign backpack jewelry chazelle light sandra accessories handbag august fyf walking canon part entertainment lamppost back concert holt crowd p symbol wang hao
Detected Text
iso
800
metering mode
5
aperture
f/2.8
focal length
85mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2015-08-22T19:23:01.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.09%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-1.86%)
harmonious color
(1.86%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(-19.12%)
intrusive object presence
(-3.66%)
lively color
(-3.87%)
low light
(65.53%)
noise
(-1.66%)
pleasant camera tilt
(-3.20%)
pleasant composition
(-45.58%)
pleasant lighting
(-48.27%)
pleasant pattern
(15.55%)
pleasant perspective
(-12.60%)
pleasant post processing
(3.94%)
pleasant reflection
(2.98%)
pleasant symmetry
(0.20%)
sharply focused subject
(2.10%)
tastefully blurred
(23.83%)
well chosen subject
(-23.43%)
well framed subject
(-32.89%)
well timed shot
(1.01%)
all
(-4.11%)
* 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.