Photos | Guerilla Gardening Squad
Elvin Hayes and his team of urban gardeners gather around a new plant they've put in on the city sidewalk. The blue sky overhead and passing cars in the background are a reminder of the work still to be done to green up the urban landscape.
BLIP-2 Description:
a group of people standing around a plantMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
building outdoor tel chanstick flagstone advertisement walking inc shoe sun bag handbag glove land cap hardhat shorts international fax transportation sky wall brick ginseng guerilla_gardening architecture gardening vehicle walkway overcoat urban long road sweater gillette path plant container pants footwear coat car accessories sleeve poster box luggage baseball soil knitwear guerilla helmet hat cup decorative sidewalk city blue trojan street elvin hayes lighter
iso
100
metering mode
5
aperture
f/2.8
focal length
23mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
overall
(39.48%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.17%)
harmonious color
(-0.11%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-31.03%)
intrusive object presence
(-8.67%)
lively color
(-0.99%)
low light
(0.66%)
noise
(-2.22%)
pleasant camera tilt
(-5.00%)
pleasant composition
(-66.94%)
pleasant lighting
(-10.94%)
pleasant pattern
(7.89%)
pleasant perspective
(4.03%)
pleasant post processing
(-2.46%)
pleasant reflection
(-1.90%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.32%)
tastefully blurred
(-6.93%)
well chosen subject
(-14.86%)
well framed subject
(-40.33%)
well timed shot
(12.27%)
all
(-1.44%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated with AI (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.