Photos | Street Music Jam Session
A group of seven musicians gather on a street in San Francisco, playing their instruments and entertaining the crowd. The urban environment provides a dynamic backdrop, complete with storefronts and potted plants.
BLIP-2 Description:
a group of people playing music on a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
874w x 874h - (download 4k)
Usage
Dominant Color:
Location:
civic cello door activities urban plant building leisure chair music footwear transportation musician restaurant furniture outdoor lounge guitarist city shoe yote machine storefront indoors bicycle life wheel performer vehicle group performance musical instrument night vote band cafe center guitar concert hayes valley crowd reason
iso
160
metering mode
5
aperture
f/2
focal length
6mm
latitude
37.78
longitude
-122.42
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2020-10-11T17:04:02.177000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(42.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.17%)
harmonious color
(1.15%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-18.24%)
intrusive object presence
(-6.84%)
lively color
(-5.68%)
low light
(0.39%)
noise
(-4.59%)
pleasant camera tilt
(-7.59%)
pleasant composition
(-60.84%)
pleasant lighting
(-6.82%)
pleasant pattern
(5.37%)
pleasant perspective
(4.64%)
pleasant post processing
(-0.06%)
pleasant reflection
(-2.94%)
pleasant symmetry
(2.12%)
sharply focused subject
(1.03%)
tastefully blurred
(-3.83%)
well chosen subject
(-2.00%)
well framed subject
(-33.33%)
well timed shot
(15.27%)
all
(0.43%)
* 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.