Photos | Nightclub Hangout
![Nightclub Hangout](https://eecue.com/img/640/6c37dbcd86.jpg)
A man casually holds his beer while surrounded by friends at a lively nightclub.
BLIP-2 Description:
a man holding a beer in his handMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
beverage photography explorer interior dj beer lee outdoors shirt rekognition_c time dom alcohol metro urban party vitor ribeiro fun dave night lighting rest back one djs mc hat necklace apollo red utensil ernie take baseball whyte jewelry junglescene nightclub portrait pub tableware didn cap pictures germans apache wristwatch cup get nature headgear berlin jungle club koncrete teylor room camer accessories
Detected Text
date
2002-08-29T12:27:25-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.85%)
curation
(65.51%)
highlight visibility
(5.54%)
behavioral
(70.58%)
failure
(-0.24%)
harmonious color
(0.85%)
immersiveness
(0.05%)
interaction
(2.00%)
interesting subject
(-38.70%)
intrusive object presence
(-19.85%)
lively color
(-9.67%)
low light
(98.00%)
noise
(-12.23%)
pleasant camera tilt
(-6.61%)
pleasant composition
(-82.03%)
pleasant lighting
(-76.71%)
pleasant pattern
(3.86%)
pleasant perspective
(-3.19%)
pleasant post processing
(0.72%)
pleasant reflection
(-2.35%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.15%)
tastefully blurred
(-5.13%)
well chosen subject
(-24.35%)
well framed subject
(-14.81%)
well timed shot
(1.26%)
all
(-11.91%)
* 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.