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:
housing herbs path document slate grass decorative outdoors urban city eyeglasses potted dave part t-shirt plant tree summer accessories shirt garden photography rock planter sidewalk equipment street pants road sunglasses optical glasses building mouth selfie backyard architecture foliage purple jar wall vegetation portrait text herbal pottery teeth rekognition_c yard flower nature vase petal soil brick
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.