Photos | An Urban Tapestry: The Indoor Market Experience

Immerse yourself into a daily life scene from the bustling indoor market of Fort Mason, captured on December 10, 2023. The photo illustrates a blend of city culture, casual fashion, and energetic commerce, with people, adorned in various clothing accessories, meandering through the myriad of market stalls teeming with goods. Technology, transportation, and architecture all converge in this lively snapshot of urban living.
BLIP-2 Description:
people walk through an indoor market with many different stallsMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
jacket path walkway mason shelter decorative city urban outdoors container train floor play hardware station car vehicle screen market plant supermarket shopping transportation indoors accessories bag area photography outdoor street pants road computer hardware footwear building architecture luggage backpack monitor shop shorts mall restaurant grocery store flooring terminal walking handbag railway rekognition_c land fort hat electronics shoe
iso
640
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2023-12-10T17:42:58.480000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(45.43%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.20%)
harmonious color
(2.28%)
immersiveness
(4.61%)
interaction
(4.00%)
interesting subject
(-16.59%)
intrusive object presence
(-7.89%)
lively color
(2.58%)
low light
(13.67%)
noise
(-0.83%)
pleasant camera tilt
(-5.43%)
pleasant composition
(-46.36%)
pleasant lighting
(-20.94%)
pleasant pattern
(14.36%)
pleasant perspective
(16.36%)
pleasant post processing
(3.50%)
pleasant reflection
(0.28%)
pleasant symmetry
(1.98%)
sharply focused subject
(0.42%)
tastefully blurred
(-4.06%)
well chosen subject
(-6.76%)
well framed subject
(-25.27%)
well timed shot
(-0.43%)
all
(1.32%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.