Photos | Crowd Gathers for Tent Performance
David V and his baseball cap steal the show as a group of urbanites gather for a night-time concert in a sheltered tent. Amidst the sea of accessories and clothing, a woman stands out with her necklace and wristwatch while a man holds a microphone for the performance. The architecture of the building adds to the night life vibe of the event.
BLIP-2 Description:
a group of people standing around a man in a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting cap shelter outdoors urban city baseball cap device fun wristwatch old accessories shirt photography baseball jewelry pub night glasses building architecture crowd club concert audience portrait party junglescene electrical rewind life rekognition_c bracelet headgear hat david microphone nature necklace
Detected Text
date
2002-11-17T14:29:28-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(14.54%)
curation
(65.25%)
highlight visibility
(5.52%)
behavioral
(70.55%)
failure
(-1.15%)
harmonious color
(0.18%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-57.08%)
intrusive object presence
(-18.07%)
lively color
(-0.63%)
low light
(99.80%)
noise
(-11.96%)
pleasant camera tilt
(-11.66%)
pleasant composition
(-90.09%)
pleasant lighting
(-72.46%)
pleasant pattern
(2.98%)
pleasant perspective
(-17.70%)
pleasant post processing
(2.06%)
pleasant reflection
(1.65%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.07%)
tastefully blurred
(-19.69%)
well chosen subject
(-25.05%)
well framed subject
(-69.14%)
well timed shot
(-15.76%)
all
(-14.51%)
* 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.