Photos | Walking in Formation
Sandi Toksvig and a group of 39 people walk in front of a formal building, surrounded by palm trees and a blue sky. The crowd is dressed in formal wear and accessories, holding 7 handbags and wearing 14 pairs of shoes, including 2 pairs of high heels. As 7 cars pass by and a traffic light changes, the group continues on their path.
BLIP-2 Description:
a group of people walking in front of a buildingMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
urban street glasses palm transportation outdoor palm tree tie formal footwear bag path ordination monastery sky tree pedestrian wbtla_ordination femple city automobile car arch building sidewalk heel shoe handbag campus coat college plant metropolis road vehicle high suit architecture machine blue hat wbtla light bus traffic wear accessories walking walkway sandi toksvig crowd land
Detected Text
iso
100
metering mode
5
aperture
f/8
focal length
19mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(43.73%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.77%)
failure
(-0.07%)
harmonious color
(3.34%)
immersiveness
(1.73%)
interaction
(1.00%)
interesting subject
(-15.00%)
intrusive object presence
(-7.37%)
lively color
(-2.01%)
low light
(0.42%)
noise
(-0.71%)
pleasant camera tilt
(-10.49%)
pleasant composition
(-62.89%)
pleasant lighting
(-0.89%)
pleasant pattern
(4.64%)
pleasant perspective
(21.00%)
pleasant post processing
(-1.75%)
pleasant reflection
(-1.22%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.24%)
tastefully blurred
(2.19%)
well chosen subject
(22.16%)
well framed subject
(-40.99%)
well timed shot
(2.75%)
all
(2.11%)
* 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.