Photos | Riding in Style
Benedict Wong, Bias of Priene, and Yan Zhichan enjoy a ride on the historic streetcar in Civic Center. The arches, lampposts and buildings provide a beautiful backdrop for their journey through the city.
BLIP-2 Description:
a trolley car on a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture civic yan zhichan skin francis les arch visitor plant building municipal window cable footwear benedict wong transportation sidewalk hat road outdoor powell great sky traffic shoe bias land street macys glove machine say information path bus clinique san vehicle car light priene railway streetcar center lamppost mason cloudy sts railroad tramway
Detected Text
iso
100
metering mode
5
aperture
f/10
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2007-01-16T16:17:20-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.32%)
harmonious color
(-3.34%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-68.41%)
intrusive object presence
(-3.76%)
lively color
(-11.07%)
low light
(7.89%)
noise
(-0.61%)
pleasant camera tilt
(-10.41%)
pleasant composition
(-72.56%)
pleasant lighting
(-61.08%)
pleasant pattern
(7.13%)
pleasant perspective
(5.95%)
pleasant post processing
(-0.29%)
pleasant reflection
(-4.94%)
pleasant symmetry
(2.22%)
sharply focused subject
(0.17%)
tastefully blurred
(-0.16%)
well chosen subject
(6.08%)
well framed subject
(-31.40%)
well timed shot
(-3.00%)
all
(-8.41%)
* 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.