Photos | Group of Cyclists Posing in Front of Their Truck
Joseph Zobel and Sam R, along with eight other cyclists, take a break from their ride to snap a photo in front of their trusty transportation. The helmets and cycling gear suggest they're either training or participating in a cycling event.
BLIP-2 Description:
a group of people standing in front of a truckChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
headgear r spoke wind hampshire baseball chair footwear cap steve j washington hat transportation wristwatch furniture cost balloon shoe amazing art mpl sam machine shirt zobel no filth équipment shorts bicycle helmet wheel banner sign rekognition_c vehicle sport pure lowest extremes cycling right mt joseph new veloci
Detected Text
iso
1600
metering mode
5
aperture
f/10
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2007-09-26T02:53:50-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.25%)
curation
(92.40%)
highlight visibility
(7.59%)
behavioral
(70.69%)
failure
(-0.49%)
harmonious color
(-0.08%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-22.62%)
intrusive object presence
(-13.87%)
lively color
(-1.34%)
low light
(96.73%)
noise
(-8.01%)
pleasant camera tilt
(-7.51%)
pleasant composition
(-69.78%)
pleasant lighting
(-49.44%)
pleasant pattern
(2.22%)
pleasant perspective
(-1.36%)
pleasant post processing
(3.70%)
pleasant reflection
(-1.26%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.54%)
tastefully blurred
(-8.62%)
well chosen subject
(-34.18%)
well framed subject
(-15.75%)
well timed shot
(1.55%)
all
(-7.48%)
* 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.