Photos | Grey Shirted Man in Hats
Andrew Matarazzo and Rudy Mancuso pose for a portrait wearing baseball caps and a hoodie.
BLIP-2 Description:
a man in a grey shirtChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
activities jeans headgear necklace pants urban hoodie leisure baseball portrait junclescene chair baby cap outdoors hat eecue furniture baseball cap andrew club shirt glasses junglescene luvmunki nature rekognition_c jewelry accessories night part photography substance matarazzo crowd dancing rudy mancuso
Detected Text
date
2002-08-29T15:03:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.64%)
curation
(65.41%)
highlight visibility
(5.53%)
behavioral
(70.56%)
failure
(-0.68%)
harmonious color
(-1.73%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(10.68%)
intrusive object presence
(-7.81%)
lively color
(-0.66%)
low light
(99.02%)
noise
(-9.52%)
pleasant camera tilt
(-1.78%)
pleasant composition
(-19.30%)
pleasant lighting
(-50.78%)
pleasant pattern
(1.59%)
pleasant perspective
(0.87%)
pleasant post processing
(-1.40%)
pleasant reflection
(2.71%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.76%)
tastefully blurred
(-6.12%)
well chosen subject
(-36.04%)
well framed subject
(39.33%)
well timed shot
(-0.77%)
all
(-4.41%)
* 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.