Photos | Adam Schiff and a Crowd of 28 People in Front of Historic Building

The California congressman poses with a large group of people outside of an iconic building, surrounded by blue skies and waving flags. The group represents a diverse range of styles and interests, from formal suits and handbags to helmets and guns.
BLIP-2 Description:
a group of people standing in front of a buildingMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
architecture tie activities door formal necklace flag plant building leisure music observatory footwear flower arrangement adam schiff crowd musician outdoor sky shoe bag gun art glove coat belt helmet wear folder jewelry performer college suit accessories group performance musical instrument griffith band untitled bouquet handbag weapon
Detected Text
iso
800
metering mode
5
aperture
f/4
focal length
22mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-11-03T17:28:25-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(51.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.10%)
harmonious color
(5.98%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(43.43%)
intrusive object presence
(-23.80%)
lively color
(7.10%)
low light
(1.29%)
noise
(-0.51%)
pleasant camera tilt
(-5.38%)
pleasant composition
(-53.17%)
pleasant lighting
(-5.04%)
pleasant pattern
(13.11%)
pleasant perspective
(21.36%)
pleasant post processing
(1.57%)
pleasant reflection
(2.44%)
pleasant symmetry
(3.76%)
sharply focused subject
(0.63%)
tastefully blurred
(-4.48%)
well chosen subject
(-6.63%)
well framed subject
(-21.77%)
well timed shot
(33.28%)
all
(6.35%)
* 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.