Photos | Mapping Out Our Golden Gate Adventure
Jim Cotter and his group enjoy the beautiful scenery as they plan their next adventure on the pier at Golden Gate National Recreation Area.
BLIP-2 Description:
people standing on a pier looking at a mapChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
scenery cap ocean outdoors furniture apple ml gate apple nature coast jeans recreation waterfront sky blue sea bag accessories max photography area jim cotter baseball outdoor pants states glasses iphone lake footwear national shore san vacation continental water bench golden april francisco pro handbag horizon united california cloudy land hat san francisco bay fence ca spring fun shoe
iso
32
metering mode
5
aperture
f/1.8
focal length
2mm
latitude
37.81
longitude
-122.43
shutter speed
1/1698s
camera make
Apple
camera model
date
2022-04-30T13:58:09.569000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(54.25%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.92%)
failure
(-0.15%)
harmonious color
(18.73%)
immersiveness
(1.61%)
interaction
(1.00%)
interesting subject
(13.20%)
intrusive object presence
(-15.89%)
lively color
(31.40%)
low light
(4.54%)
noise
(-0.90%)
pleasant camera tilt
(-7.83%)
pleasant composition
(-38.31%)
pleasant lighting
(18.21%)
pleasant pattern
(3.78%)
pleasant perspective
(9.36%)
pleasant post processing
(0.49%)
pleasant reflection
(3.08%)
pleasant symmetry
(0.44%)
sharply focused subject
(1.27%)
tastefully blurred
(-2.27%)
well chosen subject
(1.83%)
well framed subject
(-11.96%)
well timed shot
(9.35%)
all
(8.82%)
* 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.