Photos | Kitchen Party in an RV
Leanne Ratcliffe and three male friends gather in the kitchen of their RV during Coachella 2015 to enjoy some beverages and good company. The compact space is filled with appliances, a refrigerator, cabinets, and a sink for all their food and drink needs.
BLIP-2 Description:
a group of people standing around a kitchen in an rvChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
rekognition_c ratcliffe couch wood bracelet glasses restaurant shirt sink camera appliance bag cabinet refrigerator interior coachella food shelf container plywood jewelry device baseball cap building zacrosse kitchen make electronics handbag living leanne microphone room countertop undershirt wristwatch cup beverage architecture machine hat beer kitchen room bottle furniture alcohol accessories indoors electrical cap part
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
overall
(31.27%)
curation
(65.90%)
highlight visibility
(5.57%)
behavioral
(70.56%)
failure
(-0.66%)
harmonious color
(-0.98%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-37.82%)
intrusive object presence
(-33.45%)
lively color
(-15.34%)
low light
(27.64%)
noise
(-4.59%)
pleasant camera tilt
(-10.93%)
pleasant composition
(-78.08%)
pleasant lighting
(-42.53%)
pleasant pattern
(6.47%)
pleasant perspective
(-8.27%)
pleasant post processing
(1.12%)
pleasant reflection
(-2.95%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.61%)
tastefully blurred
(-3.46%)
well chosen subject
(-22.06%)
well framed subject
(-38.35%)
well timed shot
(1.42%)
all
(-8.41%)
* 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.