Photos | Grand Opening: Museum Ribbon Cutting by Vijay Ghate

Vijay Ghate, dressed in a formal suit and tie, cuts the ribbon during the grand opening of the museum exhibit. The stylish accessories and elegant footwear add to the sophisticated atmosphere of the event.
BLIP-2 Description:
a man cutting a ribbon at a museumMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture tie materials aran formal necklace change win sponsor building overcoat fr footwear plywood lamp grand come flooring vijay design wood shoe ghate ope art srpc coat glasses poster indoors airport supplies raw interior wear rekognition_c sign walk jewelry suit accessories postal office architectural opening official show floor advertisement hospital enter
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
20mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2008-11-13T18:29:00-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.27%)
harmonious color
(-1.50%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-2.52%)
intrusive object presence
(-9.11%)
lively color
(-22.13%)
low light
(32.15%)
noise
(-2.51%)
pleasant camera tilt
(-9.16%)
pleasant composition
(-52.98%)
pleasant lighting
(-42.07%)
pleasant pattern
(7.03%)
pleasant perspective
(-5.40%)
pleasant post processing
(1.51%)
pleasant reflection
(-2.49%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.59%)
tastefully blurred
(-6.65%)
well chosen subject
(-35.03%)
well framed subject
(16.75%)
well timed shot
(4.33%)
all
(-6.15%)
* 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.