Photos | Kite Flying in the City
Boris Karloff and Frida K take to the streets of San Francisco on a sunny November day, flying a large kite against the backdrop of the city skyline.
BLIP-2 Description:
people walking down the street with a large kiteChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
architecture civic pants flag neighborhood urban building portrait spear footwear pickup pedestrian outdoors transportation sidewalk hat road outdoor intersection sky tarmac city shoe bag traffic land street art glove truck parade glasses poster bicycle metropolis path helmet car vehicle skirt light boris karloff accessories blouse downtown walking center photography frida k advertisement handbag weapon shelter
iso
20
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
37.78
longitude
-122.42
shutter speed
1/1332s
camera make
Apple
camera model
date
2019-11-03T11:02:00.701000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(56.35%)
curation
(69.58%)
highlight visibility
(82.19%)
behavioral
(70.67%)
failure
(-0.17%)
harmonious color
(6.96%)
immersiveness
(0.88%)
interaction
(2.00%)
interesting subject
(46.04%)
intrusive object presence
(-7.23%)
lively color
(32.86%)
low light
(1.37%)
noise
(-2.12%)
pleasant camera tilt
(-3.66%)
pleasant composition
(-27.54%)
pleasant lighting
(-4.26%)
pleasant pattern
(8.33%)
pleasant perspective
(6.46%)
pleasant post processing
(4.75%)
pleasant reflection
(-0.92%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.81%)
tastefully blurred
(4.30%)
well chosen subject
(-30.96%)
well framed subject
(22.42%)
well timed shot
(21.08%)
all
(6.78%)
* 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.