Photos | Urban Walk
A group of 15 people and their furry friend take a stroll through the evergreen grove in the Lake Tahoe Basin Management Unit, surrounded by vibrant blue skies and lush vegetation. They walk along a road lined with city buildings and homes, some wearing shorts and sandals while others opt for hats and handbags. The perfect mix of nature and urbanity.
BLIP-2 Description:
a group of people standing in the middle of a roadChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
path shelter grass outdoors city urban dress skirt conifer glove weapon vehicle car sky plant tree transportation mammal bag accessories helmet photography sidewalk sandal outdoor street woodland animal road glasses building footwear architecture club fir pet dog vegetation portrait shorts evergreen grove pedestrian walking handbag scooter canine running land hat nature mace neighborhood shoe
iso
64
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
38.96
longitude
-119.95
shutter speed
1/122s
camera make
Apple
camera model
date
2020-07-03T19:48:14.134000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(49.12%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.76%)
harmonious color
(2.10%)
immersiveness
(2.22%)
interaction
(4.00%)
interesting subject
(29.79%)
intrusive object presence
(-8.54%)
lively color
(8.14%)
low light
(2.59%)
noise
(-3.34%)
pleasant camera tilt
(-4.13%)
pleasant composition
(3.86%)
pleasant lighting
(-30.05%)
pleasant pattern
(5.13%)
pleasant perspective
(10.48%)
pleasant post processing
(-3.85%)
pleasant reflection
(2.41%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.42%)
tastefully blurred
(-8.78%)
well chosen subject
(-11.59%)
well framed subject
(32.74%)
well timed shot
(11.71%)
all
(4.27%)
* 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.