Photos | Checking Lab Results with the Experts
Mary and Sara, both wearing lab coats and accessories, discuss computer monitor readings with a male colleague.
BLIP-2 Description:
three people standing in front of a computerMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
technologies management flooring wood dress inegraed lab coat hospital glasses sciences shirt restaurant transportation power ahunced therma interior school shelf necklace floor tripod plywood jewelry usc hardware table building production sign electronics desk aircraft denstites airplane coat sleeve knitwear classroom room mary sara tour afety system screen hardwood vehicle architecture usclaformation blouse light informano long traffic sweater furniture institute clinic accessories monitor indoors computer
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
42mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
overall
(34.40%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.44%)
harmonious color
(-0.97%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(41.04%)
intrusive object presence
(-16.09%)
lively color
(-24.34%)
low light
(34.96%)
noise
(-1.66%)
pleasant camera tilt
(-2.80%)
pleasant composition
(-53.22%)
pleasant lighting
(-37.50%)
pleasant pattern
(1.44%)
pleasant perspective
(8.45%)
pleasant post processing
(2.94%)
pleasant reflection
(0.69%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.49%)
tastefully blurred
(-53.17%)
well chosen subject
(-66.11%)
well framed subject
(49.00%)
well timed shot
(15.06%)
all
(-5.42%)
* 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.