Photos | Halloween Magic on the Porch
A fun-filled fright night! Our little ghouls, Dave B., Wesley, and Lori S., captured enjoying Halloween 2023. Dressed in their spooktacular costumes, they sit on the porch, surrounded by pumpkin lanterns and autumn hues. A perfect blend of childish innocence, cheeky mystery, and the infectious spirit of fall festivities.
BLIP-2 Description:
three children in costumes sitting on a porchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
housing path cap walkway shelter randoms outdoors urban city dress scarecrow bernal october potted floor pumpkin wesley jeans staircase dave b sitting sky lori child plant vegetable wristwatch mammal accessories bag photography halloween sandal planter outdoor animal baseball pants arch sun lantern footwear building architecture produce jack heights food purple pet dog jar portrait shoes boy coat pottery sneaker costume handbag house stairs canine squash hat festival vase porch shoe
iso
1000
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/35s
camera make
Apple
camera model
date
2023-10-31T18:24:50.954000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(31.37%)
curation
(72.62%)
highlight visibility
(6.24%)
behavioral
(90.87%)
failure
(-0.71%)
harmonious color
(-1.24%)
immersiveness
(1.22%)
interaction
(18.00%)
interesting subject
(8.51%)
intrusive object presence
(-13.77%)
lively color
(2.40%)
low light
(9.03%)
noise
(-1.81%)
pleasant camera tilt
(-8.31%)
pleasant composition
(-38.62%)
pleasant lighting
(-18.75%)
pleasant pattern
(10.03%)
pleasant perspective
(-4.20%)
pleasant post processing
(-0.27%)
pleasant reflection
(3.14%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.61%)
tastefully blurred
(-35.11%)
well chosen subject
(-29.79%)
well framed subject
(3.35%)
well timed shot
(-0.20%)
all
(-2.23%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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,
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