Photos | Dining in Ensenada
A man at a table in a crowded restaurant, with two handbags and a raised hand, surrounded by 13 people enjoying their meals. (Tags: Restaurant, Indoors, Cafe, Cafeteria, Table, Furniture, 2 Handbags, Bag, Accessories, Dining Table, 13 People, 2 Women, 6 Adults, 2 Females, 2 Bracelets, Jewelry, 4 Men, 4 Males, 2 Cups, Baby)
BLIP-2 Description:
a man sitting at a table with his hand upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet skin cafeteria urban building pub portrait chair food footwear baby beverage luggage wristwatch photos/futura_mexico purse furniture restaurant court container bag shoe mexico old diner desk alcohol zona junglescene indoors glasses dining futura smoke jewelry table accessories room tattoo cafe centro part photography cup handbag
Detected Text
date
2002-09-23T10:51:33-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.31%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.98%)
harmonious color
(-2.34%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-52.39%)
intrusive object presence
(-18.97%)
lively color
(-12.59%)
low light
(23.27%)
noise
(-10.86%)
pleasant camera tilt
(-8.78%)
pleasant composition
(-83.74%)
pleasant lighting
(-62.89%)
pleasant pattern
(4.71%)
pleasant perspective
(-10.01%)
pleasant post processing
(0.50%)
pleasant reflection
(-0.42%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.27%)
tastefully blurred
(-13.66%)
well chosen subject
(-56.05%)
well framed subject
(-49.88%)
well timed shot
(-5.98%)
all
(-13.53%)
* 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.