Photos | Urban Transportation Scene
A bustling street filled with cars, motorcycles, and people in an urban metropolis on a sunny day in 2003. License plates, helmets, and alloy wheels can be spotted among the vehicles, while buildings and lampposts line the sidewalk and tarmac path.
BLIP-2 Description:
a street with cars and motorcycles on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
tarmac path machine wheel city urban tony intersection vehicle car coupe sky defiant utility lamppost transportation dside lane old helmet sidewalk tire sedan twotokes outdoor street road building license plate architecture spoke automobile sports office light metropolis junglescene pole photos/for_dside-defiant-twotokes-tony rekognition_c land motorcycle neighborhood alloy
Detected Text
date
2003-01-25T02:02:33-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(22.80%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-1.00%)
harmonious color
(-3.17%)
immersiveness
(1.78%)
interaction
(1.00%)
interesting subject
(-78.03%)
intrusive object presence
(-16.48%)
lively color
(-13.83%)
low light
(13.04%)
noise
(-6.93%)
pleasant camera tilt
(-14.21%)
pleasant composition
(-80.96%)
pleasant lighting
(-50.63%)
pleasant pattern
(4.64%)
pleasant perspective
(-15.63%)
pleasant post processing
(0.45%)
pleasant reflection
(-5.77%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.10%)
tastefully blurred
(-5.19%)
well chosen subject
(0.89%)
well framed subject
(-56.05%)
well timed shot
(0.20%)
all
(-10.20%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.