Photos | Portrait of a Man with Decorative Plant

Dave B poses for a portrait outside his Altadena home, complemented by a potted plant and his stylish black T-shirt and glasses.
BLIP-2 Description:
a man wearing glasses and a black shirtMetadata
Capture date:
Original Dimensions:
960w x 1280h - (download 4k)
Usage
Dominant Color:
Location:
architecture herbal brick summer selfie pants urban rock plant wall building soil portrait optical flower yard decorative equipment outdoors jar purple sidewalk tree slate road planter text city pottery eyeglasses foliage street document dave shirt mouth glasses herbs teeth path nature sunglasses rekognition_c vase grass backyard accessories t-shirt housing petal potted part garden photography vegetation
iso
80
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
34.19
longitude
-118.14
shutter speed
1/120s
camera make
Apple
camera model
lens model
date
2014-07-02T07:41:42.527000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.56%)
curation
(66.25%)
highlight visibility
(5.60%)
behavioral
(70.60%)
failure
(-0.42%)
harmonious color
(3.11%)
immersiveness
(1.29%)
interaction
(1.00%)
interesting subject
(19.90%)
intrusive object presence
(-3.96%)
lively color
(29.74%)
low light
(1.29%)
noise
(-3.64%)
pleasant camera tilt
(3.00%)
pleasant composition
(3.46%)
pleasant lighting
(-3.88%)
pleasant pattern
(5.86%)
pleasant perspective
(-8.50%)
pleasant post processing
(3.11%)
pleasant reflection
(0.70%)
pleasant symmetry
(0.42%)
sharply focused subject
(13.33%)
tastefully blurred
(-2.91%)
well chosen subject
(-20.85%)
well framed subject
(53.13%)
well timed shot
(-7.65%)
all
(5.30%)
* 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.