Photos | Barcode Ticket Verification
A close-up shot of a ticket with a barcode for secure verification and tracking of documents and receipts, taken during filming on May 2nd, 2007 at 8:30 PM. #QRCode #Invoice #Document
BLIP-2 Description:
a close up of a piece of paper with a barcodeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2304w x 3072h - (download 4k)
Usage
Dominant Color:
date express g many suite packed filming packer ground building name order ront wt ga test various shp bob's ps text city id siz то ordered company document lbs number street words ship production poster small book receipt qr state invoice room postal positions country tracking code dd ch phone ticket floor attention
Detected Text
01 06 1 10016 11 123x 15 17 1888 1d 1m 1êelb 2 2007 22342342 23435234 25 259 28 301 34 3vp 4 5634 8 86 889754 9 attention bob's book building ch city code company country date dd express floor g ga ground id lbs many may name number of on order ordered packed packer phone positions postal poster production ps ront room ship shp siz state street suite test tracking where with words wt то
iso
50
metering mode
5
aperture
f/2.8
focal length
8mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2007-05-08T20:30:34-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(4.02%)
curation
(25.00%)
highlight visibility
(1.98%)
behavioral
(10.02%)
failure
(-0.44%)
harmonious color
(0.27%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-88.38%)
intrusive object presence
(-7.50%)
lively color
(9.10%)
low light
(0.15%)
noise
(-0.78%)
pleasant camera tilt
(-4.02%)
pleasant composition
(-20.18%)
pleasant lighting
(-11.66%)
pleasant pattern
(2.54%)
pleasant perspective
(8.17%)
pleasant post processing
(-0.58%)
pleasant reflection
(0.45%)
pleasant symmetry
(1.27%)
sharply focused subject
(4.69%)
tastefully blurred
(-2.35%)
well chosen subject
(7.42%)
well framed subject
(26.81%)
well timed shot
(-2.41%)
all
(-0.43%)
* 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.