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:
architecture summer activities jeans bride pants necklace barefoot plant building soil baseball portrait beach child footwear chair leisure cap wedding outdoors sea tent hat tree girl furniture vacation shoe bag city swimwear annual fun junglescene glasses water shorts audience nature sunglasses bbq jewelry skirt accessories handbag walking coast kubic kubic_annual_bbq-kubic_annual_bbq shoreline part photography palm dress back tourist concert crowd dancing box shelter
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.