Photos | Presidential Appetite
President Barack Obama enjoys a bowl of food during a visit to a manufacturing factory in 2009, while standing in front of a table filled with office supplies and a whiteboard.
BLIP-2 Description:
a man standing in front of a table with a bowl of foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture fredom appliance building footwear plywood transportation flea rum furniture wash flooring handwriting wood bag manufacturing sandal license document machine desk supprt habenero_rum indoors glasses shorts factory supplies habenero whiteboard wheel rekognition_c car vehicle obama table accessories office mary device plate workshop automobile mixer floor barack toyota handbag electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
27mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2009-07-11T17:47:41.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.14%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.56%)
failure
(-0.66%)
harmonious color
(-5.20%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-76.81%)
intrusive object presence
(-12.77%)
lively color
(-20.29%)
low light
(31.69%)
noise
(-1.76%)
pleasant camera tilt
(-12.74%)
pleasant composition
(-85.64%)
pleasant lighting
(-55.13%)
pleasant pattern
(1.34%)
pleasant perspective
(-8.80%)
pleasant post processing
(-4.02%)
pleasant reflection
(-5.38%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.15%)
tastefully blurred
(-13.21%)
well chosen subject
(-14.60%)
well framed subject
(-46.80%)
well timed shot
(-3.33%)
all
(-12.69%)
* 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.