Photos | Mine Rescue Mission
Howard Schnellenberger and Ambrosia Malone stand with a group of rescuers around the entrance to a mine shaft during a 2009 rescue mission. The team was equipped with hard hats, gloves, helmets and lots of vehicles and machines to help with the operation.
BLIP-2 Description:
a group of people standing around a holeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities headgear spoke soil leisure motor chair footwear pickup flagstone transportation hat gravel walkway furniture outdoor road howard schnellenberger hardhat malone hill shoe bag land glove truck machine rescue glasses bicycle mission path helmet car vehicle accessories adventure mine_rescue_mission ambrosia automobile worker handbag motorcycle
iso
100
metering mode
5
aperture
f/5.6
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2009-11-14T10:57:01.960000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.12%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.29%)
harmonious color
(0.43%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-67.38%)
intrusive object presence
(-25.83%)
lively color
(-7.95%)
low light
(13.43%)
noise
(-2.17%)
pleasant camera tilt
(-8.42%)
pleasant composition
(-92.92%)
pleasant lighting
(-40.50%)
pleasant pattern
(2.29%)
pleasant perspective
(-4.59%)
pleasant post processing
(-0.42%)
pleasant reflection
(4.65%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.17%)
tastefully blurred
(-4.49%)
well chosen subject
(-6.02%)
well framed subject
(-68.99%)
well timed shot
(3.96%)
all
(-7.86%)
* 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.