Photos | Group Selfie in the Office
Dave B and his coworkers capture a fun moment at work with a selfie in their Michigan office in 2015.
BLIP-2 Description:
a group of people in an office taking a selfieChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
960w x 1280h - (download 4k)
Usage
Dominant Color:
Location:
lighting machine room shelter outdoors urban furniture desk eyeglasses floor laptop dining dave hardware part pc indoors accessories wood shirt photography equipment chair sunglasses downtown royal oak optical glasses library building footwear selfie architecture crowd mouth audience classroom portrait office table studio computer flooring swivel living school book hat publication teeth electronics shoe
iso
250
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
42.48
longitude
-83.15
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-04-28T13:35:02.960000-04:00
tzoffset
-14400
tzname
America/Detroit
overall
(31.25%)
curation
(90.42%)
highlight visibility
(7.44%)
behavioral
(70.67%)
failure
(-0.32%)
harmonious color
(-1.96%)
immersiveness
(0.42%)
interaction
(2.00%)
interesting subject
(15.19%)
intrusive object presence
(-7.15%)
lively color
(-5.60%)
low light
(1.37%)
noise
(-8.40%)
pleasant camera tilt
(-6.14%)
pleasant composition
(-38.40%)
pleasant lighting
(-34.25%)
pleasant pattern
(8.52%)
pleasant perspective
(-17.79%)
pleasant post processing
(-2.01%)
pleasant reflection
(-5.98%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.85%)
tastefully blurred
(3.06%)
well chosen subject
(-50.10%)
well framed subject
(8.78%)
well timed shot
(2.73%)
all
(-6.37%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.