Photos | Fresh Harvest
A boxed selection of colorful fruits on display in a store, freshly picked and ready for purchase.
BLIP-2 Description:
a box of fruit in a store with a label on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
super guiness skin first chile ca record plant fall abu net food loving friends plastic worl fruit ted buted produco wt hot duct aid contact depper text carton container eyes plus iphone caution cardboard handle ssas wrap world ot netherlands mel business cautio product angeles ghost sweets eves avoid los former ghostpepper pepper www oz distributed extreme paper card holder october nd word variety varoty produce inc apple weapon box melissas
Detected Text
0 1.75 14380 45255 50g 580 588.0151 800.588.0151 90051 all angeles avoid buted by ca cautio caution chile com contact d distributed duct extreme eyes for former friends ghost guiness handle holder hot inc los loving mel melissas net netherlands o of or our oz pepper produce product record skin ssas super the variety with world wt www
iso
25
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2017-10-22T09:47:36.581000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.69%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.08%)
failure
(-0.39%)
harmonious color
(1.04%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-67.72%)
intrusive object presence
(-2.00%)
lively color
(37.26%)
low light
(2.51%)
noise
(-2.59%)
pleasant camera tilt
(-6.83%)
pleasant composition
(-11.89%)
pleasant lighting
(-12.61%)
pleasant pattern
(9.64%)
pleasant perspective
(12.43%)
pleasant post processing
(7.24%)
pleasant reflection
(-11.75%)
pleasant symmetry
(0.63%)
sharply focused subject
(10.60%)
tastefully blurred
(12.67%)
well chosen subject
(12.30%)
well framed subject
(25.59%)
well timed shot
(7.20%)
all
(5.60%)
* 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.