Photos | Team Roster for Caltech Engineering Competition

A group of six people handwriting the names of players on a White Board for the 2008 Caltech Engineering Competition.
BLIP-2 Description:
a white board with a list of players on itMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
pos white board ll 厂 hellafu broi caltech_engineering_competition d'oh lw hellafly brothes leans z footwear competition engineering firfly brothers outdoor savage handwriting text shoe dol land comatase wife doe dino document dog fly legas rocket vegas wrong firefly andhi rabbit supplies school bye rocfet whiteboard round neutl т grass flight rabbitl wright fingaz ww office tean caltech gandhi schod icarus lover wwl team comatose в
Detected Text
0 02 03 04 05 06 07 08 09 1 10 12 13 14 15 2 3 4 5 6 8 andhi broi brothers brothes bye comatase comatose d d'oh dino doe dog dol fingaz firefly firfly flight fly gandhi hellafly hellafu icarus l leans legas ll lover lw neutl oh pos rabbit rabbitl rocfet rocket round savage schod school team tean the vegas w wife wright wrong ww wwl z в т 厂
iso
100
metering mode
5
aperture
f/6.3
focal length
23mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2008-03-11T13:02:19-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(16.38%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.28%)
failure
(-0.34%)
harmonious color
(2.15%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-73.14%)
intrusive object presence
(-9.28%)
lively color
(5.36%)
low light
(0.02%)
noise
(-8.25%)
pleasant camera tilt
(-12.34%)
pleasant composition
(-66.31%)
pleasant lighting
(-23.28%)
pleasant pattern
(5.64%)
pleasant perspective
(-8.53%)
pleasant post processing
(6.94%)
pleasant reflection
(-2.31%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.51%)
tastefully blurred
(-4.13%)
well chosen subject
(-26.61%)
well framed subject
(-0.75%)
well timed shot
(-2.22%)
all
(-5.97%)
* 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,
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