Photos | Dave and his faithful friend
Dave B and his dog enjoy a lazy afternoon in their cozy bedroom at Plaza Las Fuentes, Pasadena, California.
BLIP-2 Description:
a man laying on a bed with a dogChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
960w x 1280h - (download 4k)
Usage
Dominant Color:
Location:
cutlery architecture tool pants spoon pillow building housewares portrait footwear baby bedroom cabinet furniture pet tennis design shoe eyeglasses dog hardware dave glasses indoors ball interior rekognition_c electronics canine dorm screen sport room accessories monitor bed sleeping couch t-shirt puppy home part decor tv photography tennis ball mammal animal hospital computer bedding cushion optical equipment
iso
1600
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
34.15
longitude
-118.14
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2014-06-07T01:46:39.587000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.56%)
curation
(65.76%)
highlight visibility
(5.71%)
behavioral
(90.72%)
failure
(-2.88%)
harmonious color
(0.39%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-47.12%)
intrusive object presence
(-7.76%)
lively color
(5.97%)
low light
(26.22%)
noise
(-37.92%)
pleasant camera tilt
(-7.95%)
pleasant composition
(-47.22%)
pleasant lighting
(-30.59%)
pleasant pattern
(4.35%)
pleasant perspective
(-22.99%)
pleasant post processing
(-0.33%)
pleasant reflection
(-1.30%)
pleasant symmetry
(0.12%)
sharply focused subject
(1.42%)
tastefully blurred
(-3.23%)
well chosen subject
(-39.43%)
well framed subject
(-26.12%)
well timed shot
(-16.03%)
all
(-7.63%)
* 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.