Photos | Man in Blue Shirt
Jeremy Piven poses in front of an art-filled wall while wearing a blue shirt at the 2007 Film LA and Pixelodeon event, surrounded by Adrian Grenier, Kevin Dillon, and Jerry Ferrara.
BLIP-2 Description:
a man wearing a blue shirtChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture tie sunday necklace pants formal building frame film_la_and_pixelodeon friends ring plywood igger hat hit furniture la adrian i's jeremy piven wood bag june art hardware fun pixelodeon shirt desk poster glasses indoors fame pc shorts kevin dillon grenier wear ferrara electronics sign jewelry screen exe comedy accessories table monitor film t-shirt couch laptop part back hospital advertisement computer jerry handbag painting
Detected Text
iso
400
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2007-06-09T12:34:42-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.24%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.63%)
harmonious color
(-1.50%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-48.00%)
intrusive object presence
(-47.71%)
lively color
(-3.86%)
low light
(5.20%)
noise
(-1.42%)
pleasant camera tilt
(-8.44%)
pleasant composition
(-80.71%)
pleasant lighting
(-39.31%)
pleasant pattern
(1.86%)
pleasant perspective
(-15.16%)
pleasant post processing
(2.00%)
pleasant reflection
(-4.43%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.29%)
tastefully blurred
(-37.21%)
well chosen subject
(-29.57%)
well framed subject
(-34.45%)
well timed shot
(-11.44%)
all
(-10.75%)
* 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.
* 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.