Photos | Bicycle Document
A man displays a handwritten document featuring a detailed sketch of a bicycle. With its machine-like precision, this piece of calligraphy showcases the beauty of function and design in the world of transportation.
BLIP-2 Description:
a man holding a piece of paper with a bicycle on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2304w x 3072h - (download 4k)
Usage
Dominant Color:
istor threate due collect tampoons stuff grand parts wheel bring mural santa pead hall text shoe document machine mustache handwriting warting ride walt need next food inside disney street almeda baby fir located bicycle calligraphy park ist box patch fe footwear vehicle concert ease transportation wall eye pack abrother help canenteron two find youll clue grounds
Detected Text
20 4 5 almeda box bring clue concert disney ease eye fe grand grounds hall help i inside ist istor man park parts people santa street walt a abrother an and are be between canenteron collect due either find fir for is located mural mustache need next of on or out pack patch pead ride tampoons the then there threate to two wall warting with you youll
iso
50
metering mode
5
aperture
f/7.1
focal length
8mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(13.29%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.61%)
failure
(-0.42%)
harmonious color
(0.40%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-62.35%)
intrusive object presence
(-17.58%)
lively color
(16.37%)
low light
(14.11%)
noise
(-2.25%)
pleasant camera tilt
(-4.20%)
pleasant composition
(-46.95%)
pleasant lighting
(-17.18%)
pleasant pattern
(1.44%)
pleasant perspective
(-9.43%)
pleasant post processing
(4.34%)
pleasant reflection
(3.74%)
pleasant symmetry
(0.34%)
sharply focused subject
(1.88%)
tastefully blurred
(-1.95%)
well chosen subject
(-42.85%)
well framed subject
(15.33%)
well timed shot
(-3.62%)
all
(-7.87%)
* WARNING: The title and caption of this image were generated with AI (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.