Photos | Camping with Friends
Michael R, Dave B, and Michael S pose for a photo in front of their tents at Coachella Valley Music and Arts Festival. The beautiful blue sky and grassy hills create the perfect backdrop for their outdoor adventure.
BLIP-2 Description:
a group of people posing for a photo in front of tentsChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture bracelet summer michael r necklace plant building portrait mobile footwear yard outdoors tent hat wristwatch tree outdoor sky hill shoe michael land old dave shirt junglescene glasses coachella shorts blueman mountain nature sunglasses electronics rekognition_c vegetation grass jewelry camping accessories backyard beasties recreation phone photography cup leisure activities lawn park shelter
Detected Text
date
2003-04-29T11:54:22-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.65%)
curation
(70.47%)
highlight visibility
(6.07%)
behavioral
(90.75%)
failure
(-0.20%)
harmonious color
(-2.80%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(40.92%)
intrusive object presence
(-21.68%)
lively color
(1.17%)
low light
(2.25%)
noise
(-3.69%)
pleasant camera tilt
(-3.22%)
pleasant composition
(-42.36%)
pleasant lighting
(-19.34%)
pleasant pattern
(3.30%)
pleasant perspective
(8.92%)
pleasant post processing
(0.24%)
pleasant reflection
(4.99%)
pleasant symmetry
(0.20%)
sharply focused subject
(1.34%)
tastefully blurred
(-1.94%)
well chosen subject
(-33.69%)
well framed subject
(6.43%)
well timed shot
(33.52%)
all
(1.89%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.