Photos | Man posing in front of a building with a sign
Eric W stands confidently in front of a building, showcasing his fashionable clothing and stylish denim jeans. The natural lighting highlights his handsome portrait, making this a stunning photography piece.
BLIP-2 Description:
a man standing in front of a building with a signChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture door jeans pants elevators urban plant building parmine portrait sweater outdoors hat purple outdoor jacket pet flooring city bag mall dog hardware shirt coat junglescene indoors teeth mouth glasses belt electronics sign canine screen accessories shopping monitor lighting knitwear part tv photography potted mammal animal floor eric computer substance shop handbag shelter
Detected Text
date
2002-08-29T14:49:31-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.31%)
curation
(65.49%)
highlight visibility
(5.54%)
behavioral
(70.55%)
failure
(-0.42%)
harmonious color
(-1.41%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-34.25%)
intrusive object presence
(-6.10%)
lively color
(-10.78%)
low light
(86.82%)
noise
(-18.68%)
pleasant camera tilt
(-16.74%)
pleasant composition
(-55.71%)
pleasant lighting
(-50.68%)
pleasant pattern
(8.74%)
pleasant perspective
(-5.11%)
pleasant post processing
(4.11%)
pleasant reflection
(-4.13%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.10%)
tastefully blurred
(-8.40%)
well chosen subject
(-33.08%)
well framed subject
(-13.77%)
well timed shot
(-8.36%)
all
(-9.07%)
* 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.