Photos | Beach Barbecue Bonanza
A crowd of 33 people gather around a table at the Kubic annual barbecue on the beach, enjoying the beautiful scenery of trees and plants while soaking up the sun and sea.
BLIP-2 Description:
a crowd of people standing around a table at the beachChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
kubic_annual_bbq-kubic_annual_bbq cap shelter outdoors city furniture skirt dress activities dancing coast jeans part fun plant tree child sea summer girl back accessories bag photography baseball jewelry chair pants sunglasses beach glasses barefoot footwear building architecture crowd necklace kubic tent vacation water concert audience palm portrait swimwear shorts bbq junglescene bride handbag walking annual box tourist leisure hat shoreline nature soil wedding shoe
Detected Text
date
2002-08-29T14:30:02-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.34%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.46%)
harmonious color
(3.77%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(-51.81%)
intrusive object presence
(-35.16%)
lively color
(17.21%)
low light
(0.10%)
noise
(-2.39%)
pleasant camera tilt
(-12.17%)
pleasant composition
(-80.52%)
pleasant lighting
(-10.69%)
pleasant pattern
(5.00%)
pleasant perspective
(-16.16%)
pleasant post processing
(7.16%)
pleasant reflection
(3.54%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.74%)
well chosen subject
(-43.46%)
well framed subject
(-75.78%)
well timed shot
(-17.58%)
all
(-6.80%)
* 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.