Photos | Nightclub Gathering
Qi Guangpu and nine other people enjoy a night out at a lively nightclub surrounded by electronics, accessories, and beverages in 2002.
BLIP-2 Description:
a group of people standing around a table in a roomMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
urban lamp jeans party glasses old qi guangpu ming appliance danny j refrigerator jacket interior necklace speed counter jewelry hardware device pub night club disco fs junglescene andrew electronics nightclub photos/reid_speed_ming_fs bar room g screen cup beverage hat fun club alcohol accessories reid headgear monitor computer electrical martin
Detected Text
overall
(9.44%)
curation
(70.41%)
highlight visibility
(2.45%)
behavioral
(70.64%)
failure
(-1.64%)
harmonious color
(-1.69%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-65.04%)
intrusive object presence
(-10.86%)
lively color
(-15.77%)
low light
(98.83%)
noise
(-18.51%)
pleasant camera tilt
(-10.52%)
pleasant composition
(-81.84%)
pleasant lighting
(-72.75%)
pleasant pattern
(1.66%)
pleasant perspective
(-12.88%)
pleasant post processing
(1.87%)
pleasant reflection
(-0.27%)
pleasant symmetry
(0.02%)
sharply focused subject
(0.10%)
tastefully blurred
(-20.41%)
well chosen subject
(-29.81%)
well framed subject
(-63.87%)
well timed shot
(-16.49%)
all
(-15.42%)
* 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.