Photos | Two Men Under the Night Sky
Tyler O'Neill and a friend stand together, their faces illuminated by the city lights while they enjoy a jointz valentine party.
BLIP-2 Description:
two men standing next to each other at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet headgear necklace pants urban optical baseball portrait cap equipment outdoors hat jointz jacket outdoor baseball cap sky party eyeglasses old shirt coat junglescene glasses o'neill nature rekognition_c photos/jointz_valentine_party jewelry accessories night earring valentine tyler lighting part photography terminal
Detected Text
date
2003-02-15T02:41:48-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(43.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.37%)
harmonious color
(1.79%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(11.53%)
intrusive object presence
(-4.66%)
lively color
(7.35%)
low light
(98.73%)
noise
(-6.42%)
pleasant camera tilt
(0.91%)
pleasant composition
(-14.14%)
pleasant lighting
(-26.39%)
pleasant pattern
(3.25%)
pleasant perspective
(0.34%)
pleasant post processing
(1.84%)
pleasant reflection
(4.95%)
pleasant symmetry
(0.32%)
sharply focused subject
(3.10%)
tastefully blurred
(0.77%)
well chosen subject
(-14.67%)
well framed subject
(47.73%)
well timed shot
(0.39%)
all
(1.47%)
* 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.