Photos | Summertime Fun in the Park, 2023
Resilient spirit captured in a photo as Smriti Mehra and friends enjoy a lively game of soccer amidst a beautiful outdoor setting. The union of nature, architecture and excitement from a day well-spent documented in this delightful moment.
BLIP-2 Description:
a group of people playing with a ballMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
rockie football recreation phone 厚 vegetation barefoot glasses portrait shirt cap outdoor house backyard mobile roof footwear grass bag toy garden arbour year porch park shorts soccer crowd tree bookie woodland housing soil oak pinata lawn smriti mehra building electronics outdoors shoe handbag lori nature balloon sony play grove plant tent area ball camping yard architecture baseball hat sport summer sphere accessories photography shelter art sycamore land
iso
100
metering mode
5
aperture
f/4.5
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
overall
(36.45%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.45%)
failure
(-0.24%)
harmonious color
(5.85%)
immersiveness
(1.27%)
interaction
(2.00%)
interesting subject
(-44.12%)
intrusive object presence
(-12.57%)
lively color
(9.12%)
low light
(4.32%)
noise
(-1.93%)
pleasant camera tilt
(-6.94%)
pleasant composition
(-73.24%)
pleasant lighting
(3.70%)
pleasant pattern
(2.34%)
pleasant perspective
(10.45%)
pleasant post processing
(5.14%)
pleasant reflection
(3.61%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.51%)
tastefully blurred
(-4.68%)
well chosen subject
(-28.69%)
well framed subject
(-52.05%)
well timed shot
(-0.27%)
all
(-0.21%)
* 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-4-0613
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.