Photos | Restaurant Gathering
A group of nine people enjoying a meal and drinks inside a restaurant in Ensenada, Mexico in 2002. The table is set with bottles, glasses, and accessories while the furniture and interior room add to the cozy ambiance of the restaurant.
BLIP-2 Description:
a group of people sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
beverage photography cafeteria interior beer table footwear indoors old container lamp cafe alcohol restaurant food urban drinking sitting bottle dining chair glasses zona mexico necklace speaker couch building furniture architecture jewelry junglescene photos/futura_mexico lunch desk lager portrait pub wristwatch meal centro water sunglasses window futura electronics court room shoe accessories
Detected Text
date
2002-09-23T10:51:36-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-1.00%)
harmonious color
(-3.09%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-42.36%)
intrusive object presence
(-8.25%)
lively color
(-14.65%)
low light
(25.29%)
noise
(-5.37%)
pleasant camera tilt
(-10.09%)
pleasant composition
(-71.29%)
pleasant lighting
(-65.97%)
pleasant pattern
(8.01%)
pleasant perspective
(-7.75%)
pleasant post processing
(-2.45%)
pleasant reflection
(-3.25%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.27%)
tastefully blurred
(-8.44%)
well chosen subject
(-44.63%)
well framed subject
(-39.33%)
well timed shot
(-13.35%)
all
(-13.33%)
* 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.