Photos | Cool and Collected
Jules LeBlanc stands confidently next to an electric fan in a chic urban setting, accessorizing with bracelets, a handbag, and stylish footwear.
BLIP-2 Description:
a woman standing next to a fan in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
bracelet bride necklace appliance urban portrait music footwear wedding microphone hat bag shoe machine club leblanc junglescene glasses indoors life cord electronics rekognition_c jewelry electric accessories respect night headphones speakers lighting device photography fan handbag jules electrical
Detected Text
date
2002-08-29T14:50:17-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.66%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-1.17%)
harmonious color
(0.36%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-39.79%)
intrusive object presence
(-8.25%)
lively color
(4.92%)
low light
(99.71%)
noise
(-17.68%)
pleasant camera tilt
(-12.13%)
pleasant composition
(-67.29%)
pleasant lighting
(-55.86%)
pleasant pattern
(5.18%)
pleasant perspective
(-10.05%)
pleasant post processing
(2.17%)
pleasant reflection
(-1.77%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.24%)
tastefully blurred
(2.39%)
well chosen subject
(-39.97%)
well framed subject
(-37.82%)
well timed shot
(-6.96%)
all
(-9.60%)
* 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.