Photos | Ørjan Nilsen Rocks the Nightclub
DJ Ørjan Nilsen mesmerizes the crowd with his beats at a lively nightclub on November 3, 2002. Baseball hat and electronics add to the party vibe.
BLIP-2 Description:
a dj playing music at a party with people watchingMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
urban instrument turntable recreation night bracelet music old bag interior deejay tv musical entertainer bartender headphones counter jewelry hardware concert pub junglescene lighting electronics handbag nightclub databass bar room screen cup beverage performance consumer baseball machine speaker hat ørjan nilsen speakers club alcohol accessories headgear monitor computer crowd
Detected Text
overall
(22.17%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.59%)
harmonious color
(-0.23%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-36.18%)
intrusive object presence
(-23.29%)
lively color
(-24.10%)
low light
(99.71%)
noise
(-51.46%)
pleasant camera tilt
(-12.93%)
pleasant composition
(-80.66%)
pleasant lighting
(-66.06%)
pleasant pattern
(5.83%)
pleasant perspective
(-8.60%)
pleasant post processing
(0.14%)
pleasant reflection
(-1.23%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.17%)
tastefully blurred
(-1.10%)
well chosen subject
(-33.45%)
well framed subject
(-35.01%)
well timed shot
(-5.96%)
all
(-12.96%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.