Photos | Hillside Portrait of Melanie near the Ocean
Melanie Robillard stands tall amidst the wilderness as she gazes out towards the majestic ocean on a cloudy day near Jenner, California.
BLIP-2 Description:
a woman is standing on a hill near the oceanMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
vegetation scenery pond portrait glasses natural outdoor water melanie robillard girl footwear grass herbs leisure teen path green sky environment activities cloud tree jungle weather woodland shore grassland soil flower reed weed lake building shoreline outdoors shoe trail nature lori cloudy agavaceae knitwear adventure field hiking pants plant rock herbal rainforest landscape wristwatch beach moss architecture promontory blue hat blouse sweater coast shelter accessories photography ocean wilderness sea land
iso
25
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
38.53
longitude
-123.28
shutter speed
1/1370s
camera make
Apple
camera model
overall
(60.55%)
curation
(66.08%)
highlight visibility
(82.07%)
behavioral
(90.87%)
failure
(-0.07%)
harmonious color
(14.53%)
immersiveness
(1.51%)
interaction
(4.00%)
interesting subject
(38.79%)
intrusive object presence
(-5.69%)
lively color
(17.14%)
low light
(0.54%)
noise
(-2.39%)
pleasant camera tilt
(0.52%)
pleasant composition
(3.11%)
pleasant lighting
(33.45%)
pleasant pattern
(2.25%)
pleasant perspective
(22.49%)
pleasant post processing
(0.32%)
pleasant reflection
(4.23%)
pleasant symmetry
(0.39%)
sharply focused subject
(2.56%)
tastefully blurred
(-3.29%)
well chosen subject
(9.07%)
well framed subject
(30.49%)
well timed shot
(22.44%)
all
(15.01%)
* 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.