Photos | Nighttime Street Gathering
A group of five people stand under the electric glow of the city lights on a bustling urban street at night. Philip S and his companions share a moment in the midst of the lively crowd.
BLIP-2 Description:
a group of people standing in the street at nightChronologically 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:
selfie hair urban portrait child vice_party_etc-vice_party_etc_photos_by_eecue baby outdoors transportation microphone eecue girl road outdoor sky traffic city party land street machine club junglescene glasses metropolis life nature car vehicle jewelry light accessories night philip earring vice lighting device automobile laughing photography happy etc crowd electrical
Detected Text
date
2002-08-29T12:23:43-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.56%)
curation
(65.64%)
highlight visibility
(5.55%)
behavioral
(70.61%)
failure
(-1.68%)
harmonious color
(-2.50%)
immersiveness
(0.10%)
interaction
(2.00%)
interesting subject
(-38.53%)
intrusive object presence
(-7.62%)
lively color
(-2.94%)
low light
(97.02%)
noise
(-6.15%)
pleasant camera tilt
(-7.18%)
pleasant composition
(-65.48%)
pleasant lighting
(-67.19%)
pleasant pattern
(2.88%)
pleasant perspective
(-11.66%)
pleasant post processing
(-1.33%)
pleasant reflection
(-0.94%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.54%)
tastefully blurred
(-14.66%)
well chosen subject
(-24.71%)
well framed subject
(-15.22%)
well timed shot
(-13.44%)
all
(-11.38%)
* 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.