Photos | Four Men Enjoying Beer and Food at a Restaurant
Dave B and his friends gather around a table to enjoy some cold beers and delicious food at their favorite restaurant. The cozy interior room and wooden furniture make for a great atmosphere to catch up and have a good time.
BLIP-2 Description:
four men sitting at a table with beer and foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
pc urban flag street wood bracelet restaurant portrait child glasses cap transportation computer old dave shirt footwear bag court diner teen interior food cafeteria sitting chair city plywood jewelry car table building lunch pub junglescene electronics shoe handbag desk dining table neighborhood boy umbrella glass lag room pants plant cafe wristwatch cup road beverage vehicle undershirt architecture baseball hat utensil beer meal furniture alcohol accessories photography headgear indoors laptop dining art
Detected Text
overall
(32.67%)
curation
(68.22%)
highlight visibility
(5.90%)
behavioral
(90.72%)
failure
(-0.42%)
harmonious color
(-0.32%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(8.81%)
intrusive object presence
(-6.49%)
lively color
(-6.61%)
low light
(14.50%)
noise
(-8.11%)
pleasant camera tilt
(-5.22%)
pleasant composition
(-52.29%)
pleasant lighting
(-45.95%)
pleasant pattern
(8.40%)
pleasant perspective
(-0.52%)
pleasant post processing
(3.38%)
pleasant reflection
(-0.08%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.54%)
tastefully blurred
(-13.90%)
well chosen subject
(-64.01%)
well framed subject
(0.55%)
well timed shot
(-3.48%)
all
(-7.22%)
* 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.