Photos | Caltech Engineering Competition Participants Gather around the Field
Joyca and Trey Anastasio join the crowd of 20 people at the 2008 Caltech Engineering Competition, sporting stylish clothing and accessories while standing on the grassy land surrounded by fences.
BLIP-2 Description:
a group of people standing around a fieldChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
jeans boy pants plant fence caltech_engineering_competition competition mobile trey footwear outdoors microphone hat wristwatch engineering crowd field joyca outdoor bag shoe land art glasses teen shorts belt electronics grass tripod accessories caltech device phone concert anastasio handbag electrical
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
70mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2008-03-11T12:45:34.840000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.19%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.20%)
harmonious color
(2.09%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(6.13%)
intrusive object presence
(-19.34%)
lively color
(-7.92%)
low light
(0.39%)
noise
(-2.95%)
pleasant camera tilt
(-3.61%)
pleasant composition
(-82.13%)
pleasant lighting
(-32.81%)
pleasant pattern
(4.42%)
pleasant perspective
(-2.29%)
pleasant post processing
(4.79%)
pleasant reflection
(2.75%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.34%)
tastefully blurred
(6.74%)
well chosen subject
(-9.52%)
well framed subject
(-54.64%)
well timed shot
(31.98%)
all
(-2.40%)
* 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.