Photos | Holding a Business Card with Pictures
Antonella Gambotta-Burke showcasing a business card with pictures in San Francisco, California. The picture reveals a close-up of the card, highlighting the images featuring computer hardware and electronics.
BLIP-2 Description:
a person holding a card with pictures on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
michaela civic r ortega computer make tv de uno eles business participants computer hardware laptop dave video security wedding keyboard bfc mute tararao dat parents pc bullock im text card hardware consumer share athena soren tablet center chat penelope screen paper electronics machine stop antonella gambotto-burke monitor command ass nostras bride
Detected Text
iso
640
metering mode
5
aperture
f/1.6
focal length
5mm
latitude
37.78
longitude
-122.42
shutter speed
1/40s
camera make
Apple
camera model
date
2021-02-13T20:32:43.405000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(34.25%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.53%)
failure
(-0.37%)
harmonious color
(3.07%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-54.54%)
intrusive object presence
(-5.05%)
lively color
(10.48%)
low light
(2.86%)
noise
(-1.51%)
pleasant camera tilt
(-9.04%)
pleasant composition
(-43.60%)
pleasant lighting
(-3.91%)
pleasant pattern
(17.29%)
pleasant perspective
(7.04%)
pleasant post processing
(6.73%)
pleasant reflection
(-5.06%)
pleasant symmetry
(1.00%)
sharply focused subject
(1.90%)
tastefully blurred
(4.72%)
well chosen subject
(-14.03%)
well framed subject
(-11.04%)
well timed shot
(1.73%)
all
(1.38%)
* 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.