Photos | Halloween Costumes with Friends
A group of 9 people dressed up in costumes pose for a portrait under the starry night sky, with a woman and 3 men in elaborate costumes standing in the center, surrounded by their friends in jackets and blazers, accessories and jewelry, and a baby sitting on one of the chairs.
BLIP-2 Description:
a group of people dressed up in costumesChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
costume bracelet tie formal necklace pants urban portrait chair footwear baby lamp outdoors wristwatch hat microphone furniture outdoor jacket sky shoe halloween old fashion mrs.comedy night life club coat junglescene glasses belt wear dotcomedy nature jewelry suit accessories respect night photos/halloween_respect blazer lighting device photography dress cup electrical
Detected Text
date
2002-11-01T11:05:55-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.99%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.54%)
harmonious color
(-1.96%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(7.42%)
intrusive object presence
(-6.93%)
lively color
(10.33%)
low light
(99.27%)
noise
(-12.21%)
pleasant camera tilt
(-5.52%)
pleasant composition
(-39.84%)
pleasant lighting
(-56.25%)
pleasant pattern
(4.44%)
pleasant perspective
(-5.48%)
pleasant post processing
(2.46%)
pleasant reflection
(0.85%)
pleasant symmetry
(0.22%)
sharply focused subject
(1.03%)
tastefully blurred
(-3.87%)
well chosen subject
(-9.67%)
well framed subject
(6.59%)
well timed shot
(1.21%)
all
(-4.21%)
* 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.