Photos | Medication and Mobile Devices
A wooden table in Pebble Beach, California holds a phone and two bottles of pills.
BLIP-2 Description:
a table with a phone, a bottle of pills, and a bottle of pillsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
ci page stir mobile le report plywood lucira stickered molecular less accuracy minutes rotate test furniture text carton checkvit container wood spanish bay mambat ready cardboard unligue document number shi run machine negative swab done went mo nostrile rekognition_c electronics unique receipt keeo positive table thie quality © thin covid kit lucirn keep pcr regative phone consumer printed dispose checkoit box nostrils
Detected Text
19 30 4 5 5x a above accuracy and both box checkoit checkvit ci covid dispose done in it keeo keep kit le less lucira lucirn mambat minutes mo molecular negative nostrile nostrils number o of or pcr positive quality ready regative report rotate run shi stickered stir swab test thie thin unique unligue went your ©
iso
40
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
36.61
longitude
-121.94
shutter speed
1/165s
camera make
Apple
camera model
date
2022-02-05T12:08:38.100000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(35.35%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.36%)
failure
(-0.10%)
harmonious color
(1.35%)
immersiveness
(0.34%)
interaction
(2.00%)
interesting subject
(-55.22%)
intrusive object presence
(-5.35%)
lively color
(-13.44%)
low light
(16.02%)
noise
(-1.32%)
pleasant camera tilt
(-11.99%)
pleasant composition
(-70.02%)
pleasant lighting
(-7.16%)
pleasant pattern
(1.86%)
pleasant perspective
(12.04%)
pleasant post processing
(-1.49%)
pleasant reflection
(-0.29%)
pleasant symmetry
(0.68%)
sharply focused subject
(1.32%)
tastefully blurred
(-1.05%)
well chosen subject
(3.71%)
well framed subject
(-9.09%)
well timed shot
(0.82%)
all
(-1.93%)
* 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.