Photos | Warehouse Gathering

Caridad Sanchez and Dave B joined a group of 14 people to examine something interesting in this busy warehouse filled with furniture and machinery made of plywood and wood.
BLIP-2 Description:
a group of people in a warehouse looking at somethingMetadata
Capture date:
Original Dimensions:
5184w x 3456h - (download 4k)
Usage
Dominant Color:
jacket machine room furniture desk container laptop dave consumer jeans market teen cardboard hoodie wristwatch pc court indoors wood accessories bag sanchez workshop shelf chair pants glasses library footwear cafeteria building architecture food shop classroom manufacturing table canon boy mobile caridad cup phone restaurant carton computer eos grocery handbag store school rekognition_c canon_eos_m box factory book hat publication electronics plywood shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2012-12-08T10:09:04.910000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.25%)
curation
(65.70%)
highlight visibility
(5.71%)
behavioral
(90.76%)
failure
(-0.49%)
harmonious color
(0.31%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-38.45%)
intrusive object presence
(-30.98%)
lively color
(9.28%)
low light
(3.27%)
noise
(-4.83%)
pleasant camera tilt
(-10.83%)
pleasant composition
(-86.67%)
pleasant lighting
(-14.69%)
pleasant pattern
(7.89%)
pleasant perspective
(-9.74%)
pleasant post processing
(1.36%)
pleasant reflection
(0.28%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.51%)
tastefully blurred
(-11.27%)
well chosen subject
(-36.87%)
well framed subject
(-62.16%)
well timed shot
(-10.33%)
all
(-6.81%)
* 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.