Photos | Gathering Around Music

A group of people of different ages are standing around a man in a baseball cap with a guitar, listening to music from speakers. Some are wearing hats while others are casually dressed in t-shirts and pants. It seems like a laid-back evening filled with music and good company.
BLIP-2 Description:
a group of people standing around a man in a roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet string activities headgear boy pants leisure baseball portrait music footwear cap beverage musical instrument wristwatch hat microphone musician furniture guitarist baseball cap shoe bag glove old alcohol shirt junglescene indoors teen pc rekognition_c electronics jewelry performer sport respect accessories musical instrument couch speakers laptop device photography guitar cup computer handbag electrical
Detected Text
date
2002-10-11T12:11:36-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.09%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.59%)
failure
(-1.20%)
harmonious color
(-2.65%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-42.80%)
intrusive object presence
(-8.94%)
lively color
(-6.50%)
low light
(98.88%)
noise
(-17.14%)
pleasant camera tilt
(-11.50%)
pleasant composition
(-66.85%)
pleasant lighting
(-63.87%)
pleasant pattern
(5.44%)
pleasant perspective
(-18.48%)
pleasant post processing
(4.37%)
pleasant reflection
(6.99%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.17%)
tastefully blurred
(-16.24%)
well chosen subject
(-26.05%)
well framed subject
(-33.01%)
well timed shot
(-15.82%)
all
(-11.60%)
* 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.