Photos | Mine Rescue Team and Their Trusty Companion
Jason Bonham and his team of 13 workers take a break from the challenging rescue mission to give some love to their faithful canine companion. Safety vests, hardhats, and gloves - this team is prepared for anything the rugged outdoor terrain might throw their way.
BLIP-2 Description:
a group of people standing around a dogChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sky accessories vehicle land leisure shoe mammal cap road mission rocks headgear gravel coat hiking transportation truck hardhat path mine_rescue_mission adventure lifejacket flagstone wood safety hat outdoors vest soil walkway helmet archaeology activities pants glove nature rescue jacket footwear dog blue backpack bag outdoor animal jason bonham glasses baseball car pet worker canine
iso
100
metering mode
5
aperture
f/5.6
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(34.16%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.15%)
harmonious color
(-1.31%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(-36.50%)
intrusive object presence
(-13.26%)
lively color
(-1.82%)
low light
(0.56%)
noise
(-1.46%)
pleasant camera tilt
(-4.44%)
pleasant composition
(-78.61%)
pleasant lighting
(-19.76%)
pleasant pattern
(1.37%)
pleasant perspective
(4.88%)
pleasant post processing
(-1.59%)
pleasant reflection
(3.56%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.73%)
tastefully blurred
(-11.35%)
well chosen subject
(-22.44%)
well framed subject
(-35.50%)
well timed shot
(18.16%)
all
(-3.05%)
* 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 with AI (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.