Photos | Business Talk at the SRPC Show
Claudinei da Silva, in a sharp suit and fedora, engages in a serious conversation with a group of attendees at the 2008 SRPC show. The elegant plant, framed art, and sophisticated furniture in the background create a refined setting for this exchange of ideas.
BLIP-2 Description:
a man in a suit and tie talking to peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
rekognition_c couch wood glasses silva transportation cap entertainment tie camera tuxedo formal bag jacket da tv tripod show chair fedora car hardware device blazer building lighting electronics handbag living video coat microphone room srpc painting plant indoors center screen claudinei vehicle suit architecture hat wear overcoat furniture frame accessories headgear monitor computer electrical art
iso
1600
metering mode
5
aperture
f/2.8
focal length
20mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
overall
(38.04%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-1.22%)
harmonious color
(0.93%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-13.17%)
intrusive object presence
(-6.76%)
lively color
(-35.45%)
low light
(90.92%)
noise
(-4.71%)
pleasant camera tilt
(-8.04%)
pleasant composition
(-72.66%)
pleasant lighting
(-52.00%)
pleasant pattern
(1.64%)
pleasant perspective
(2.55%)
pleasant post processing
(3.45%)
pleasant reflection
(-2.35%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.34%)
tastefully blurred
(-48.49%)
well chosen subject
(-30.44%)
well framed subject
(-11.49%)
well timed shot
(2.60%)
all
(-8.59%)
* 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.