Photos | Beach Day with Baby
Pete Lembo, his girlfriend, and their little one enjoy the sun, sand, and waves in their stylish swimsuits and sunglasses. The lush greenery and towering tree in the background add to the tropical paradise feel.
BLIP-2 Description:
a man and woman in bikinis holding a babyMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
vegetation hawaii_one-hawaii_one portrait baby glasses shirt water dave hugging bag grass teen park sky shorts laughing necklace tree equipment optical woodland jewelry happy junglescene bikini outdoors handbag pete lembo nature boy romantic plant kissing wristwatch baseball sunglasses swimwear hat summer accessories photography hawaii cap one land
Detected Text
overall
(41.26%)
curation
(65.63%)
highlight visibility
(5.55%)
behavioral
(70.61%)
failure
(-0.42%)
harmonious color
(0.89%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(30.27%)
intrusive object presence
(-7.15%)
lively color
(-8.31%)
low light
(5.37%)
noise
(-11.04%)
pleasant camera tilt
(-1.02%)
pleasant composition
(-3.52%)
pleasant lighting
(-40.06%)
pleasant pattern
(2.25%)
pleasant perspective
(7.41%)
pleasant post processing
(0.96%)
pleasant reflection
(-3.55%)
pleasant symmetry
(0.49%)
sharply focused subject
(2.61%)
tastefully blurred
(3.90%)
well chosen subject
(-1.27%)
well framed subject
(51.90%)
well timed shot
(14.81%)
all
(1.48%)
* 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.