Photos | The Ordination of Lori Berenson
A crowd of 26 people gathered outside the monastery building, framed by palm trees and blue skies, as Lori Berenson and other adults walk down the stairs, carrying handbags and wearing hats and stylish clothing.
BLIP-2 Description:
a group of people standing outside of a buildingChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
urban rekognition_c berenson dress glasses palm outdoor house footwear bag ordination stairs sky monastery tree pedestrian wbtla_ordination housing city arch building shoe handbag campus 远 lori 千 老 coat staircase college nb pants plant handrail belt architecture wbtla blue hat door accessories corridor indoors walking crowd
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(39.97%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.29%)
harmonious color
(-1.34%)
immersiveness
(2.22%)
interaction
(1.00%)
interesting subject
(-9.89%)
intrusive object presence
(-10.55%)
lively color
(5.14%)
low light
(0.83%)
noise
(-2.32%)
pleasant camera tilt
(-9.78%)
pleasant composition
(-65.58%)
pleasant lighting
(-17.36%)
pleasant pattern
(20.83%)
pleasant perspective
(10.86%)
pleasant post processing
(-3.66%)
pleasant reflection
(0.45%)
pleasant symmetry
(4.05%)
sharply focused subject
(0.85%)
tastefully blurred
(-1.16%)
well chosen subject
(-0.36%)
well framed subject
(-44.85%)
well timed shot
(-1.90%)
all
(-0.95%)
* 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.