Photos | Nighttime Embrace

Gabrielle Richens and Aaron A share a tender moment in the dark streets, surrounded by the glow of the city lights and the hum of urban life.
BLIP-2 Description:
a man and woman hugging in a dark streetMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
headgear jeans pants necklace urban pub baseball portrait bar footwear cap beverage outdoors hat outdoor jacket counter sky shoe old aaron machine club alcohol coat junglescene life nature rekognition_c car vehicle jewelry respect accessories richens night vest darkness gabrielle lighting automobile photography undershirt
Detected Text
date
2003-01-24T10:47:35-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.09%)
curation
(65.81%)
highlight visibility
(5.72%)
behavioral
(90.75%)
failure
(-0.85%)
harmonious color
(0.84%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(48.17%)
intrusive object presence
(-7.91%)
lively color
(-13.62%)
low light
(99.85%)
noise
(-11.11%)
pleasant camera tilt
(-2.88%)
pleasant composition
(-15.81%)
pleasant lighting
(-43.38%)
pleasant pattern
(1.64%)
pleasant perspective
(11.45%)
pleasant post processing
(-2.68%)
pleasant reflection
(0.97%)
pleasant symmetry
(0.27%)
sharply focused subject
(1.05%)
tastefully blurred
(-3.78%)
well chosen subject
(-29.76%)
well framed subject
(50.34%)
well timed shot
(16.52%)
all
(-0.74%)
* 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.