Photos | Dining at a Mexican Restaurant
A group of 12 people, including 4 women and 2 men, enjoy drinks and conversation at a bustling restaurant in Ensenada, Baja California in 2002. The vibrant interior room features a large table, colorful chairs, printed documents, and a variety of jewelry and accessories worn by the diners.
BLIP-2 Description:
a group of people sitting at a table with drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet beer cafeteria page necklace pub building portrait chair window footwear food lager beverage hat photos/futura_mexico restaurant furniture court container bag shoe mexico drinking document old alcohol desk zona junglescene indoors glasses dining futura interior sunglasses jewelry table accessories room cafe centro plate photography printed cup handbag bottle
Detected Text
date
2002-09-23T10:51:39-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.44%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.98%)
harmonious color
(-2.33%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-49.51%)
intrusive object presence
(-17.48%)
lively color
(-11.46%)
low light
(68.12%)
noise
(-9.42%)
pleasant camera tilt
(-9.56%)
pleasant composition
(-79.83%)
pleasant lighting
(-71.19%)
pleasant pattern
(10.72%)
pleasant perspective
(-6.09%)
pleasant post processing
(1.14%)
pleasant reflection
(-0.71%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.29%)
tastefully blurred
(-4.08%)
well chosen subject
(-33.57%)
well framed subject
(-50.10%)
well timed shot
(-7.66%)
all
(-12.20%)
* 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.