Photos | Olive Oil and Olives
A delicious combination of a bottle of olive oil and a bowl of olives, captured during the 2007 Peneloper Wine Tasting event.
BLIP-2 Description:
a bottle of olive oil and a bowl of olivesChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3072w x 2304h - (download 4k)
Usage
Dominant Color:
receive extra beer glass wine pen basil towards net window winel stout beverage liquor gloss wt btl la presidio taken vine lel sor container tomato wing purchase stadried olivos wins lend alcohol ar bre rancho dipper dio virgin logo winery oz sting list noir pinot ve tasting el keep peneloper vineyard wines wine bottle italian bottle taste
Detected Text
10 12.7 2 2005 29.2 6 a and ar basil bottle bre btl d dio dipper e el extra for glass gloss i italian keep la lel lend list logo net noir of olivos on or oz pinot presidio purchase rancho receive sor stadried sting taste tasting the this tomato towards ve vine vineyard virgin wine winel winery wines wing wins wt
iso
50
metering mode
5
aperture
f/2.8
focal length
8mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2007-07-29T10:46:21-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(61.96%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.39%)
failure
(-0.24%)
harmonious color
(14.59%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-21.88%)
intrusive object presence
(-16.04%)
lively color
(18.68%)
low light
(8.54%)
noise
(-0.83%)
pleasant camera tilt
(0.22%)
pleasant composition
(-10.29%)
pleasant lighting
(5.39%)
pleasant pattern
(4.27%)
pleasant perspective
(31.25%)
pleasant post processing
(22.75%)
pleasant reflection
(-4.40%)
pleasant symmetry
(1.42%)
sharply focused subject
(9.86%)
tastefully blurred
(52.78%)
well chosen subject
(-19.13%)
well framed subject
(32.79%)
well timed shot
(10.08%)
all
(12.00%)
* 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.