Photos | Rowing on Stow Lake

Melanie Robillard and Lori S enjoy a leisurely afternoon in a rowboat on Stow Lake in Golden Gate Park, surrounded by lush green vegetation and a bright blue sky.
BLIP-2 Description:
a woman in a boat on a lakeMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
canoe activities watercraft fishing paddle rock plant leisure wilderness portrait environment bayou outdoors transportation pond tree jacket outdoor boat sky bag pole land melanie robillard kayak jungle sitting dinghy scenery coat glasses water oars lifejacket boating nature sunglasses lake vehicle sport rowboat accessories lori woodland recreational vest recreation sports canoeing assistance cal photography smile happy natural handbag optical equipment vegetation
iso
50
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
37.77
longitude
-122.48
shutter speed
1/122s
camera make
Apple
camera model
date
2021-02-28T16:48:30.750000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(66.60%)
curation
(66.57%)
highlight visibility
(5.77%)
behavioral
(90.75%)
failure
(-0.10%)
harmonious color
(12.13%)
immersiveness
(2.03%)
interaction
(2.00%)
interesting subject
(50.00%)
intrusive object presence
(-6.25%)
lively color
(10.76%)
low light
(1.05%)
noise
(-0.71%)
pleasant camera tilt
(-4.11%)
pleasant composition
(10.83%)
pleasant lighting
(11.21%)
pleasant pattern
(3.32%)
pleasant perspective
(26.37%)
pleasant post processing
(3.61%)
pleasant reflection
(11.03%)
pleasant symmetry
(1.12%)
sharply focused subject
(1.81%)
tastefully blurred
(0.29%)
well chosen subject
(8.18%)
well framed subject
(47.22%)
well timed shot
(14.75%)
all
(14.06%)
* 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.