Photos | Beach Babe
Victoria Pedretti shows off her stunning swimsuit and sunglasses while taking in the scenic views of Hawaii's shoreline.
BLIP-2 Description:
a woman in a bikini standing next to the oceanMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
cactus accessories sky tree land plant grass shoreline leisure pedretti sea flower sports herbal swimwear cave lady selfie coast one cove promontory vegetation swimming junglescene sport outdoors soil photography water rock activities portrait wilderness equipment hawaii_one-hawaii_one nature lori h bikini scenery summer beach optical landscape rekognition_c victoria outdoor potted sea waves swimsuit hawaii shore foliage sunglasses herbs glasses
Detected Text
overall
(52.20%)
curation
(66.09%)
highlight visibility
(5.59%)
behavioral
(70.69%)
failure
(-0.27%)
harmonious color
(3.38%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(37.52%)
intrusive object presence
(-5.81%)
lively color
(5.15%)
low light
(8.96%)
noise
(-8.18%)
pleasant camera tilt
(-4.46%)
pleasant composition
(1.50%)
pleasant lighting
(-10.98%)
pleasant pattern
(1.49%)
pleasant perspective
(5.67%)
pleasant post processing
(-1.44%)
pleasant reflection
(0.66%)
pleasant symmetry
(0.24%)
sharply focused subject
(2.76%)
tastefully blurred
(1.27%)
well chosen subject
(6.35%)
well framed subject
(61.91%)
well timed shot
(17.07%)
all
(6.66%)
* 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 with AI (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.