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:
lighting jacket outdoors urban furniture dress respect baby wear device tie lamp sky shoe fashion wristwatch old formal accessories belt photography halloween outdoor jewelry photos/halloween_respect chair pants night dotcomedy glasses footwear club night life mrs.comedy portrait suit junglescene cup electrical costume blazer bracelet hat microphone nature necklace coat
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.