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:
tripod caltech grass outdoors device jeans joyca plant teen anastasio wristwatch accessories bag belt outdoor pants caltech_engineering_competition glasses competition footwear trey crowd concert shorts boy mobile phone electrical handbag land hat art fence microphone engineering electronics field shoe
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.