Photos | Artistic Encounter at Sutro Baths
Jacques Colimon marvels at a striking white sculpture while exploring the artistic side of San Francisco during his visit to the legendary Sutro Baths in April 2023. With the vibrant cityscape as his backdrop, Jacques captures the essence of creativity and joy in this perfect moment.
BLIP-2 Description:
a man standing in front of a large white sculptureChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
baths wheel urban jeans portrait transportation shirt outdoor tire parking sky sutro jacket laughing city sports automobile car happy coco lighting coupe jacques colimon lot coat alloy corpration pants plant spoke vehicle cocos baseball machine hat car wheel photography headgear sedan smile cap leaf land
Detected Text
iso
250
metering mode
5
aperture
f/8
focal length
70mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
overall
(56.45%)
curation
(70.00%)
highlight visibility
(6.04%)
behavioral
(90.83%)
failure
(-0.29%)
harmonious color
(2.69%)
immersiveness
(0.49%)
interaction
(6.00%)
interesting subject
(21.95%)
intrusive object presence
(-15.36%)
lively color
(-16.77%)
low light
(12.92%)
noise
(-1.15%)
pleasant camera tilt
(-2.61%)
pleasant composition
(-20.74%)
pleasant lighting
(-6.20%)
pleasant pattern
(4.79%)
pleasant perspective
(10.78%)
pleasant post processing
(10.87%)
pleasant reflection
(-4.36%)
pleasant symmetry
(2.25%)
sharply focused subject
(9.81%)
tastefully blurred
(43.55%)
well chosen subject
(-0.86%)
well framed subject
(59.33%)
well timed shot
(13.98%)
all
(5.76%)
* 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-4-0314
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.