Photos | Family Outing in Hawaii
A couple enjoys a day out in Hawaii with their adorable newborn, as they pose for a portrait in front of a lush tree and a man in sunglasses looks on.
BLIP-2 Description:
a man and woman holding a baby in front of a man in sunglassesMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
woodland accessories winter tree land plant grass cap swimwear wristwatch teen shirt one january baby necklace vegetation kissing junglescene blonde newborn brad kennedy shorts hat outdoors ring photography portrait park equipment willow hawaii_one-hawaii_one boy nature bikini grove summer optical romantic hair hawaii baseball jewelry sunglasses optical equipment blouse glasses
Detected Text
overall
(42.70%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.29%)
harmonious color
(1.82%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(32.25%)
intrusive object presence
(-6.69%)
lively color
(-5.25%)
low light
(10.69%)
noise
(-8.42%)
pleasant camera tilt
(-1.41%)
pleasant composition
(-7.39%)
pleasant lighting
(-27.78%)
pleasant pattern
(2.22%)
pleasant perspective
(6.17%)
pleasant post processing
(1.48%)
pleasant reflection
(-1.24%)
pleasant symmetry
(0.44%)
sharply focused subject
(2.76%)
tastefully blurred
(-1.98%)
well chosen subject
(7.51%)
well framed subject
(41.46%)
well timed shot
(16.39%)
all
(3.19%)
* 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.