Photos | Halloween Portrait with Feline Friend

Melanie Robillard poses in her Halloween costume, holding her trusted feline companion, against a beautiful San Francisco cityscape.
BLIP-2 Description:
a woman in a halloween costume holding a catMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
lighting jacket housing cap couch room shelter plush city urban furniture outdoors puppy bird potted civic wildlife lori s sky plant shoe high toy mammal indoors accessories bag shirt photography baseball outdoor animal pants sunglasses glasses building footwear architecture pet dog giraffe melanie robillard portrait rise table office metropolis condo sculpture beak costume living canine cityscape interior design statue hat art center cat coat
iso
20
metering mode
5
aperture
f/2
focal length
6mm
latitude
37.78
longitude
-122.42
shutter speed
1/410s
camera make
Apple
camera model
lens model
date
2019-10-31T09:00:07.849000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(46.85%)
curation
(65.76%)
highlight visibility
(5.71%)
behavioral
(90.83%)
failure
(-0.34%)
harmonious color
(0.70%)
immersiveness
(0.17%)
interaction
(8.00%)
interesting subject
(29.39%)
intrusive object presence
(-16.67%)
lively color
(-6.40%)
low light
(1.51%)
noise
(-11.16%)
pleasant camera tilt
(-5.06%)
pleasant composition
(-29.93%)
pleasant lighting
(-15.37%)
pleasant pattern
(7.79%)
pleasant perspective
(11.40%)
pleasant post processing
(-1.64%)
pleasant reflection
(-0.43%)
pleasant symmetry
(0.66%)
sharply focused subject
(1.12%)
tastefully blurred
(-21.67%)
well chosen subject
(-27.32%)
well framed subject
(40.28%)
well timed shot
(28.61%)
all
(2.94%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.