Photos | Nighttime Tent Life
Jonathan Pierce enjoying the outdoors under the night sky, with a folding chair and cozy clothing in front of his tent.
BLIP-2 Description:
two people standing in front of a tent at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
architecture summer pants urban plant baseball building portrait chair bullock festival footwear sweater cap flare silhouette plywood outdoors tent hat gravel eos tree furniture outdoor jacket road performance sky shoe bag city wood shelter iii glove shirt coat glasses folding dining shorts mark nature sport light camping accessories table night jonathan pierce august fyf walking canon lighting entertainment photography concert handbag undershirt knitwear
iso
3200
metering mode
5
aperture
f/2.8
focal length
23mm
shutter speed
1/8s
camera make
Canon
camera model
lens model
date
2015-08-22T20:42:43.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.93%)
harmonious color
(-0.08%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-48.90%)
intrusive object presence
(-7.03%)
lively color
(-18.42%)
low light
(87.50%)
noise
(-6.64%)
pleasant camera tilt
(-4.57%)
pleasant composition
(-64.89%)
pleasant lighting
(-43.87%)
pleasant pattern
(2.51%)
pleasant perspective
(-0.38%)
pleasant post processing
(1.75%)
pleasant reflection
(-1.59%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.54%)
tastefully blurred
(-19.04%)
well chosen subject
(-18.85%)
well framed subject
(-14.27%)
well timed shot
(7.81%)
all
(-6.63%)
* 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.