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:
firfly ớh lw leans white board engineering whiteboard icarus ww outdoor bye rocket footwear flight grass schod wwl doe gandhi school wrong brothes vegas neutl hellafu rocfet rabbitl comatase andhi wife document legas fly lover comatose shoe brothers z в ll firefly caltech round competition office team 厂 d'oh wright fingaz hellafly tean dol broi pos handwriting т caltech_engineering_competition text supplies rabbit savage dino dog land
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 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.