Photos | Party at the Night Club
![Party at the Night Club](https://eecue.com/img/640/0bfe7132d1.jpg)
Giuseppe Maggio and a crowd of 16 people photobombing each other at a lively nightclub in 2002. From the album Old Photos/progression sessions.
BLIP-2 Description:
a crowd of people standing in a clubMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
urban night party glasses portrait old bride sessions interior crowd progression counter concert pub disco night club wedding junglescene lighting photos/progression_sessions nightclub bar room beverage baseball life hat giuseppe maggio fun club audience accessories photography headgear photobombing alcohol cap
Detected Text
overall
(11.07%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-2.29%)
harmonious color
(1.18%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-72.61%)
intrusive object presence
(-25.56%)
lively color
(-0.16%)
low light
(93.70%)
noise
(-8.40%)
pleasant camera tilt
(-9.16%)
pleasant composition
(-87.35%)
pleasant lighting
(-69.92%)
pleasant pattern
(1.44%)
pleasant perspective
(-23.21%)
pleasant post processing
(7.13%)
pleasant reflection
(1.86%)
pleasant symmetry
(0.02%)
sharply focused subject
(0.15%)
tastefully blurred
(-32.64%)
well chosen subject
(-30.22%)
well framed subject
(-58.45%)
well timed shot
(-19.64%)
all
(-14.89%)
* 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.