Photos | Festival Fun on the Grass
Tim Chen and a crowd of 34 people enjoy the sunny day playing on the lush green grass at Empire Polo Club's outdoor play area during the 2022 festival.
BLIP-2 Description:
people are playing on the grass at a festivalChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
lighting scenery shelter grass outdoors urban city furniture glove play sky camping plant tree summer flare bag accessories baseball area outdoor sun sport building park footwear architecture crowd sunrise tim chen backpack tent grassland baseball game landscape vegetation concert canopy palm light sunlight lawn handbag walking yard land hat nature weather soil field shoe
iso
40
metering mode
5
aperture
f/1.8
focal length
2mm
latitude
33.68
longitude
-116.24
shutter speed
1/6494s
camera make
Apple
camera model
date
2022-04-15T16:11:29.571000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(27.56%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.29%)
harmonious color
(2.87%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-65.63%)
intrusive object presence
(-11.87%)
lively color
(5.72%)
low light
(8.45%)
noise
(-4.10%)
pleasant camera tilt
(-10.77%)
pleasant composition
(-83.25%)
pleasant lighting
(-51.46%)
pleasant pattern
(5.47%)
pleasant perspective
(-6.43%)
pleasant post processing
(-1.93%)
pleasant reflection
(-1.32%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.12%)
tastefully blurred
(-3.16%)
well chosen subject
(4.76%)
well framed subject
(-54.69%)
well timed shot
(10.55%)
all
(-6.75%)
* 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.