Photos | Weekend Picnic with Damian O'Hare

Damian O'Hare joins a group of 18 people for a picnic at a cafeteria food court, taking a seat at a plywood picnic table surrounded by chairs and luggage.
BLIP-2 Description:
a group of people sitting around a picnic tableMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture cafeteria john building food chair footwear plywood outdoors transportation hat luggage porch damian o'hare patio restaurant furniture house design court container wood bag shoe weekend glove machine rescue desk search indoors dining interior car vehicle backpack table accessories cafe ncrc housing automobile cup handbag box shelter
iso
400
metering mode
5
aperture
f/8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2011-07-29T08:36:19.770000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.30%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.68%)
failure
(-0.20%)
harmonious color
(-1.14%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-75.54%)
intrusive object presence
(-9.57%)
lively color
(-17.74%)
low light
(43.95%)
noise
(-1.00%)
pleasant camera tilt
(-14.48%)
pleasant composition
(-92.82%)
pleasant lighting
(-65.67%)
pleasant pattern
(9.40%)
pleasant perspective
(-15.43%)
pleasant post processing
(-1.54%)
pleasant reflection
(2.22%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.12%)
tastefully blurred
(4.19%)
well chosen subject
(-10.02%)
well framed subject
(-71.58%)
well timed shot
(-7.06%)
all
(-12.99%)
* 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.