Photos | Crowded Tent at the Market
Nora Fingscheidt captured a bustling atmosphere as over 50 people gather under a tent at the local market, featuring colorful clothing, flower arrangements, and an array of accessories.
BLIP-2 Description:
a crowd of people standing under a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
cocktails boy necklace plant baseball overcoat food child flower footwear food court cap arrangement tent hat chardonnay nora fingscheidt restaurant la bag shoe budweiser detour cocktals coat glasses menu water indoors weekly wart banner sign bud backpack jewelry drwars light accessories market sudlt handbag bazaar cup bouquet shop crowd lmme
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
200mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-10-04T18:20:11.900000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.24%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.76%)
harmonious color
(-5.67%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-50.98%)
intrusive object presence
(-13.77%)
lively color
(-9.13%)
low light
(12.70%)
noise
(-3.83%)
pleasant camera tilt
(-7.43%)
pleasant composition
(-82.91%)
pleasant lighting
(-33.52%)
pleasant pattern
(5.64%)
pleasant perspective
(-5.83%)
pleasant post processing
(-2.79%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.42%)
tastefully blurred
(-11.29%)
well chosen subject
(-13.10%)
well framed subject
(-54.64%)
well timed shot
(2.94%)
all
(-8.05%)
* 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.