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:
winter vegetation hawaii_one-hawaii_one ring portrait baby glasses shirt brad kennedy grass teen park shorts necklace january tree equipment optical woodland jewelry newborn blonde junglescene bikini outdoors nature optical equipment boy hair romantic plant grove kissing wristwatch baseball willow sunglasses swimwear hat blouse summer accessories photography hawaii cap one land
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 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.