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:
architecture civic continental statue ca arch plant building fall food flower festival arrangement grand tree n spring st states outdoor traffic light performance sky plus iphone art andré little tokyo 山 miranda altar parade prayer 态 angeles sweets church candy united rekognition_c apple los luiz light office downtown hollister october plate center entertainment palm cup california concert bouquet cloudy painting park
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.