Photos | Candy Float Parade in Grand Park

André Luiz Miranda captures the festive candy float in front of a modern office building at the 2016 Grand Park parade in Los Angeles.
BLIP-2 Description:
a large float with candy and decorations in front of a buildingMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
prayer hollister october apple civic sky 山 plant tree los andré miranda downtown candy little tokyo traffic light outdoor performance states arch arrangement plate luiz iphone building park grand architecture church bouquet food continental concert parade palm office light painting fall cup angeles united california rekognition_c plus 态 altar cloudy statue flower art n spring st center festival ca sweets entertainment
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.24
shutter speed
1/1368s
camera make
Apple
camera model
date
2016-10-29T15:58:18.417000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.17%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.10%)
harmonious color
(9.23%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(28.88%)
intrusive object presence
(-7.13%)
lively color
(20.56%)
low light
(0.81%)
noise
(-1.66%)
pleasant camera tilt
(-4.24%)
pleasant composition
(-0.63%)
pleasant lighting
(26.20%)
pleasant pattern
(39.92%)
pleasant perspective
(28.32%)
pleasant post processing
(-4.98%)
pleasant reflection
(3.77%)
pleasant symmetry
(4.47%)
sharply focused subject
(2.03%)
tastefully blurred
(-3.80%)
well chosen subject
(-8.28%)
well framed subject
(20.94%)
well timed shot
(9.52%)
all
(12.19%)
* 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.