Photos | Basking in the Bliss of a Sunny Afternoon
Picture perfect moment from SF Zoo Sunset Fridays in 2023. Sho Nakata, Kurt Sorge, and Hinata Igarashi, among others, soaking in the sun while lounging on the grass. A remarkable snapshot of serene summers: leisure, laughter, and unforgettable memories in the making.
BLIP-2 Description:
people sitting on the grass in the sunChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
fridays vegetation glasses outdoor sorge sunlight footwear grass bag sun leisure sky park activities hinata igarashi tree container chair grassland daytime picnic concert lawn sunset building folding electronics outdoors handbag shoe glove nature college field tent plant camping sf yard architecture speaker hat kurt summer furniture fun sho nakata accessories shelter luggage crowd zoo land
iso
100
metering mode
5
aperture
f/5.6
focal length
28mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(38.23%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.20%)
harmonious color
(3.75%)
immersiveness
(0.71%)
interaction
(2.00%)
interesting subject
(-43.19%)
intrusive object presence
(-20.02%)
lively color
(-19.25%)
low light
(4.54%)
noise
(-1.22%)
pleasant camera tilt
(-6.32%)
pleasant composition
(-85.89%)
pleasant lighting
(-55.18%)
pleasant pattern
(1.51%)
pleasant perspective
(-2.53%)
pleasant post processing
(0.50%)
pleasant reflection
(-0.65%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.15%)
tastefully blurred
(-8.17%)
well chosen subject
(5.55%)
well framed subject
(-57.18%)
well timed shot
(21.48%)
all
(-6.24%)
* 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.