Photos | Church Gathering
A large crowd of people gather outside a church in beautiful weather, wearing various clothing and accessories, including sunglasses and handbags. Architecture and plants provide a backdrop for the group, which includes individuals such as Eliezer Yudkowsky and Liliane Rovère.
BLIP-2 Description:
a large crowd of people standing outside of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
path walkway rovère campus heel city urban ordination sky plant tree shopping liliane high indoors accessories bag sidewalk eliezer yudkowsky outdoor street pants arch road sunglasses glasses building footwear architecture crowd boulevard wbtla palm college coat pedestrian walking handbag monastery wbtla_ordination hat shoe
Detected Text
iso
100
metering mode
5
aperture
f/8
focal length
25mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:36:00.430000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.84%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.32%)
harmonious color
(-0.14%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-36.91%)
intrusive object presence
(-9.35%)
lively color
(0.16%)
low light
(0.49%)
noise
(-3.30%)
pleasant camera tilt
(-9.39%)
pleasant composition
(-76.03%)
pleasant lighting
(-25.07%)
pleasant pattern
(11.55%)
pleasant perspective
(-0.50%)
pleasant post processing
(0.26%)
pleasant reflection
(0.16%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.20%)
tastefully blurred
(-0.76%)
well chosen subject
(-8.95%)
well framed subject
(-56.15%)
well timed shot
(-2.07%)
all
(-4.72%)
* 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.