Photos | Nightclub Hangout
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:
urban rekognition_c whyte night koncrete party portrait take shirt explorer dave get dom didn djs interior germans necklace jungle vitor ribeiro jewelry camer pictures pub apollo junglescene lighting lee tableware outdoors nature berlin nightclub back room time ernie red teylor wristwatch cup beverage metro baseball dj hat apache utensil beer fun club alcohol accessories photography headgear mc rest cap one
Detected Text
overall
(21.85%)
curation
(65.51%)
highlight visibility
(5.54%)
behavioral
(70.57%)
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.