Photos | Rush Hour Avenue
The bustling streets of the city came alive during rush hour with 11 cars, a pickup truck and a bus fighting for space on the road. The skyline shows a metropolis in the distance while pedestrians hurry on the sidewalks.
BLIP-2 Description:
a street with cars and a billboardChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
tarmac rude housing path machine wheel city urban outdoors asphalt pickup intersection vehicle car coupe license sky freeway lamppost transportation lane old sidewalk sign sedan traffic tire outdoor street road sound plate building architecture zebra suv spoke photos/rude_sound automobile highway sports light metropolis junglescene condo crossing bus truck land neighborhood alloy symbol
Detected Text
date
2003-04-12T13:15:52-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.13%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.46%)
failure
(-1.37%)
harmonious color
(-3.31%)
immersiveness
(3.17%)
interaction
(1.00%)
interesting subject
(-72.95%)
intrusive object presence
(-21.34%)
lively color
(-16.64%)
low light
(9.52%)
noise
(-7.76%)
pleasant camera tilt
(-12.40%)
pleasant composition
(-79.30%)
pleasant lighting
(-55.27%)
pleasant pattern
(5.64%)
pleasant perspective
(-9.87%)
pleasant post processing
(1.79%)
pleasant reflection
(-4.40%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.20%)
tastefully blurred
(-4.72%)
well chosen subject
(5.11%)
well framed subject
(-46.80%)
well timed shot
(-1.34%)
all
(-10.28%)
* 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.