Photos | Computer Lab at ArtCenter - Hillside Campus
Chang Chenchen, Xu Mengtao, Sun Yujun, and Ding Yixin work diligently in the computer lab at ArtCenter - Hillside Campus in Pasadena, California.
BLIP-2 Description:
a group of people sitting at computers in a roomMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
pc box united north flooring fall xu negative continental dinner footwear bag st school pasadena chang chenchen floor container states yixin chair september apple ml hardware table building lida iphone north arroyo electronics shoe desk handbag artcenter united states sun yujun campus arroyo classroom room ding indoors screen consumer ca architecture machine furniture hillside swivel accessories dining laptop monitor computer apple luggage crowd mengtao california
iso
320
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.17
longitude
-118.18
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(16.00%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.37%)
harmonious color
(-3.48%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-24.38%)
intrusive object presence
(-9.33%)
lively color
(-44.02%)
low light
(72.02%)
noise
(-10.42%)
pleasant camera tilt
(-14.23%)
pleasant composition
(-75.29%)
pleasant lighting
(-64.06%)
pleasant pattern
(5.96%)
pleasant perspective
(-4.26%)
pleasant post processing
(-24.11%)
pleasant reflection
(-3.77%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.07%)
tastefully blurred
(-24.54%)
well chosen subject
(-17.74%)
well framed subject
(-33.64%)
well timed shot
(0.30%)
all
(-14.74%)
* 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.