Photos | Jamming with the DJ
A man and woman join in the musical performance with a deejay in a restaurant, surrounded by speakers and musical instruments.
BLIP-2 Description:
a man and woman in a room with a djChronologically 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:
lighting speaker room furniture dining wednesday_star_shoes device recreation fire turntable lamp child deejay court girl indoors bag accessories photography performance pub wednesday building architecture musical instrument fireplace food music portrait table light shoes cup entertainer restaurant studio star speakers electrical handbag door headphones microphone electronics
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/4s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-02T03:07:09-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.36%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.88%)
harmonious color
(1.23%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-67.33%)
intrusive object presence
(-10.57%)
lively color
(-16.71%)
low light
(99.41%)
noise
(-46.95%)
pleasant camera tilt
(-11.69%)
pleasant composition
(-81.40%)
pleasant lighting
(-68.36%)
pleasant pattern
(3.81%)
pleasant perspective
(-8.04%)
pleasant post processing
(5.41%)
pleasant reflection
(3.05%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.07%)
tastefully blurred
(-7.60%)
well chosen subject
(-10.03%)
well framed subject
(-49.58%)
well timed shot
(-15.17%)
all
(-12.06%)
* 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.