Photos | Beach Fun with Eric and Friends
Eric Darnell and a group of friends enjoy a day at the beach, complete with sunglasses, cold drinks, and plenty of laughter.
BLIP-2 Description:
a man and woman standing next to each other at the beachMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
portrait glasses shirt water bag bride bbq sky shorts necklace equipment container optical kubic jewelry blonde wedding junglescene outdoors handbag nature hair annual vacation wristwatch eric darnell beverage baseball kubic_annual_bbq-kubic_annual_bbq sunglasses hat swimwear beer summer blouse bottle fun tourist accessories photography alcohol cap sea
Detected Text
overall
(31.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.49%)
harmonious color
(-1.93%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-28.64%)
intrusive object presence
(-5.03%)
lively color
(3.68%)
low light
(7.67%)
noise
(-6.71%)
pleasant camera tilt
(-6.25%)
pleasant composition
(-46.61%)
pleasant lighting
(-21.55%)
pleasant pattern
(3.71%)
pleasant perspective
(-6.12%)
pleasant post processing
(-1.84%)
pleasant reflection
(0.89%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.85%)
tastefully blurred
(3.42%)
well chosen subject
(-6.45%)
well framed subject
(3.92%)
well timed shot
(-10.47%)
all
(-3.75%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.