Photos | City Campus Walk
Rimpa Siva joins the procession of 32 people walking past a grand building with arches and palm trees on a sunny day in 2011.
BLIP-2 Description:
people walking in front of a large buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture property formal arch urban plant building wbtla overcoat footwear pedestrian outdoors transportation sidewalk hat walkway lamp tree flagstone slate rimpa siva outdoor campus sky traffic shoe wbtla_ordination bag city land coat glasses indoors shorts metropolis path shrub nature corridor ordination wear car vehicle college light fir suit accessories arbour real handbag walking garden palm crowd monastery
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2011-05-15T12:36:48.640000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.01%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.17%)
harmonious color
(1.61%)
immersiveness
(1.93%)
interaction
(1.00%)
interesting subject
(-26.39%)
intrusive object presence
(-15.67%)
lively color
(-4.32%)
low light
(1.64%)
noise
(-2.22%)
pleasant camera tilt
(-8.36%)
pleasant composition
(-75.88%)
pleasant lighting
(-0.04%)
pleasant pattern
(7.84%)
pleasant perspective
(10.72%)
pleasant post processing
(-1.32%)
pleasant reflection
(1.19%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.24%)
tastefully blurred
(-0.42%)
well chosen subject
(7.62%)
well framed subject
(-57.37%)
well timed shot
(-2.83%)
all
(-0.90%)
* 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.