Photos | Nightlife in the Metropolis
A bustling street in Hong Kong, filled with vibrant billboards and a sea of people amidst the bright lights and fast-paced urban life.
BLIP-2 Description:
a busy city street at night with many people walking aroundChronologically 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:
Location:
scooter hong neighborhood urban building motor footwear pedestrian outdoors transportation area road outdoor sky tarmac city bag shoe license land mall street japan wond machine night life storefront hong_kong metropolis nature billboards sign moped car vehicle light accessories shopping night trip downtown handbag bazaar walking market town kong lighting plate automobile shop crowd motorcycle
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/30s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-13T05:17:35-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.05%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.68%)
harmonious color
(-2.63%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-55.22%)
intrusive object presence
(-4.30%)
lively color
(-39.70%)
low light
(99.71%)
noise
(-14.21%)
pleasant camera tilt
(-14.72%)
pleasant composition
(-85.25%)
pleasant lighting
(-79.69%)
pleasant pattern
(3.32%)
pleasant perspective
(-2.92%)
pleasant post processing
(4.68%)
pleasant reflection
(-4.18%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.10%)
tastefully blurred
(-10.75%)
well chosen subject
(-0.01%)
well framed subject
(-50.54%)
well timed shot
(-1.35%)
all
(-12.86%)
* 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.