Photos | Transporting Something Important
A yellow case with a bar code, possibly containing first aid supplies, sitting in a vehicle ready for transportation.
BLIP-2 Description:
a yellow case with a bar code on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3072w x 2304h - (download 4k)
Usage
Dominant Color:
us first edex recipient 馨 ca bill bullock keterence overnight torrance food fodkx washington transportation al products lax trk aid ne fri 颜 carton sender's usa street cardboard 口 gofedex hone dave no compary angeles airbill payment suitcase rekognition_c car pelican interal vehicle stuff billing pees baggage st package delivery deliver peel sixth case cnn box priority
Detected Text
0329991845 1.800 12 1450 1640 1800.463.333 1st 20002 202 2647 323 4243 5225 53 6955 70 702 76 820 8558 855826476955 898 90014 airbill al angeles bill billing bullock by ca case cnn com compary dave deliver e edex fodkx fri gofedex here hone interal keterence lax man ne no overnight payment peel pees pelican priority products recipient sender's sixth st street to torrance trk us usa washington your 口 颜 馨
iso
50
metering mode
5
aperture
f/7.1
focal length
8mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2006-03-31T12:46:21-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.47%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.16%)
failure
(-0.22%)
harmonious color
(0.06%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-71.63%)
intrusive object presence
(-3.15%)
lively color
(4.12%)
low light
(69.78%)
noise
(-3.86%)
pleasant camera tilt
(1.81%)
pleasant composition
(5.92%)
pleasant lighting
(-13.44%)
pleasant pattern
(4.44%)
pleasant perspective
(20.91%)
pleasant post processing
(1.83%)
pleasant reflection
(0.02%)
pleasant symmetry
(2.03%)
sharply focused subject
(6.67%)
tastefully blurred
(-10.53%)
well chosen subject
(5.40%)
well framed subject
(60.45%)
well timed shot
(-3.05%)
all
(4.71%)
* 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.