Photos | A Night Out at the Pub
A group of five friends and two strangers mingling around the bar, enjoying conversation and drinks. They are all dressed in casual clothing, with some wearing jeans and handbags. The men are sporting T-shirts and the women are wearing dresses and accessorized with jewelry and hats. The urban night club ambiance is complete with a stylish bar counter and monitor screens in the background.
BLIP-2 Description:
a group of people standing around a bar talkingMetadata
Capture date:
Original Dimensions:
640w x 428h - (download 4k)
Usage
Dominant Color:
urban bee couch dress night jeans thepoet bracelet party shirt senks lots gamedbs footwear bag bride adam leah vanessa interior necklace pics jason w jewelry hardware drinking pub disco wedding junglescene electronics bravis handbag shoe nightclub bar bar counter room pants canoe screen cup beverage hat substance trox furniture club fun accessories alcohol monitor cute computer flinch heather
Detected Text
overall
(33.79%)
curation
(67.84%)
highlight visibility
(5.72%)
behavioral
(70.49%)
failure
(-0.66%)
harmonious color
(0.10%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-36.35%)
intrusive object presence
(-9.47%)
lively color
(3.68%)
low light
(90.87%)
noise
(-10.40%)
pleasant camera tilt
(-5.83%)
pleasant composition
(-65.72%)
pleasant lighting
(-38.60%)
pleasant pattern
(4.79%)
pleasant perspective
(3.28%)
pleasant post processing
(6.41%)
pleasant reflection
(0.06%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.42%)
tastefully blurred
(-2.14%)
well chosen subject
(-21.57%)
well framed subject
(-36.38%)
well timed shot
(7.73%)
all
(-4.00%)
* 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.