Photos | CalTech Engineering Competition Gathering

Mayuko Yamamoto and a crowd of 20 people stand around the field, watching the competition with flags waving and hands in pockets. The land and grass offer a perfect backdrop to the group, dressed in jeans and casual clothing, with accessories such as glasses and hats.
BLIP-2 Description:
a group of people standing around a fieldMetadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
activities jeans boy pants flag yamamoto ech plant baseball fence caltech_engineering_competition competition leisure footwear cap outdoors engineering hat wristwatch field outdoor shoe bag land art glasses teen audience mayuko rekognition_c grass tripod calt accessories adventure handbag caltech concert crowd
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
70mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2008-03-11T12:45:38.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.32%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.15%)
harmonious color
(4.50%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(34.38%)
intrusive object presence
(-20.85%)
lively color
(-0.29%)
low light
(0.15%)
noise
(-2.98%)
pleasant camera tilt
(-0.10%)
pleasant composition
(-72.07%)
pleasant lighting
(-4.65%)
pleasant pattern
(4.03%)
pleasant perspective
(5.14%)
pleasant post processing
(4.13%)
pleasant reflection
(4.92%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.68%)
tastefully blurred
(18.13%)
well chosen subject
(-13.81%)
well framed subject
(-36.55%)
well timed shot
(40.94%)
all
(3.31%)
* 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.