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:
andhi round engineering firefly land z grass dol icarus comatase lw schod shoe savage dino school gandhi hellafly rabbitl handwriting 厂 d'oh legas caltech tean caltech_engineering_competition flight vegas в team wife rabbit wright firfly leans wrong ớh lover fingaz supplies neutl comatose rocfet fly whiteboard footwear dog office pos brothes т outdoor white board document rocket text doe ww brothers wwl broi ll hellafu competition bye
Detected Text
0 02 03 04 05 06 07 08 09 1 10 12 13 14 15 2 3 4 5 6 8 brothers bye broi brothes comatase comatose d d'oh dino doe dog dol fingaz firefly flight firfly gandhi hellafly hellafu icarus l lover lw pos rocfet rocket rabbit rabbitl savage schod school tean vegas w ww wwl z andhi fly leans legas ll neutl round team the wife wright wrong в т ớh 厂
iso
100
metering mode
5
aperture
f/6.3
focal length
23mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(16.38%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.33%)
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 with AI (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.