Photos | Hands Up on the Stairway
A group of twelve people, including three men, two women, and a bride, stand on a stairway with their hands up, wearing urban clothing and various headgear, standing against a fence with handrail and lamp, in front of a building labeled Club/Pub, as two glasses and accessories are visible on the bar counter.
BLIP-2 Description:
a group of people standing on a stairway with their hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture bracelet jeans headgear necklace bride pants handrail urban pub fence building portrait baseball bar cap beverage wedding lamp railing hat outdoors counter house party old proper fun steve club alcohol shirt junglescene glasses disco belt life nature jewelry accessories night housing lighting photography staircase
Detected Text
date
2003-01-20T02:14:25-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(15.89%)
curation
(67.88%)
highlight visibility
(5.72%)
behavioral
(70.53%)
failure
(-0.81%)
harmonious color
(-2.30%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-59.08%)
intrusive object presence
(-22.36%)
lively color
(-16.04%)
low light
(98.78%)
noise
(-29.54%)
pleasant camera tilt
(-11.25%)
pleasant composition
(-87.84%)
pleasant lighting
(-73.00%)
pleasant pattern
(3.27%)
pleasant perspective
(-7.64%)
pleasant post processing
(1.08%)
pleasant reflection
(1.71%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.12%)
tastefully blurred
(-16.35%)
well chosen subject
(-18.02%)
well framed subject
(-49.10%)
well timed shot
(-6.74%)
all
(-13.58%)
* 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.