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:
machine mixer document wheel furniture desk supprt floor handwriting device car vehicle license transportation barack wash indoors bag accessories obama sandal workshop toyota mary plate glasses footwear building architecture flea automobile manufacturing office shorts table rum electrical fredom flooring handbag rekognition_c factory supplies appliance habenero habenero_rum whiteboard plywood wood
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.