Photos | Exploring the Red Planet
A man and woman stand proudly next to a model of a Mars rover, dressed in jeans and comfortable clothing for a day of outdoor exploration. The plywood and wood roving machine features three wheels, and accessories like a belt, handbags, and ping pong paddles lay nearby. The couple's passion for astronomy and outer space is evident in the intricate details of the rover, ready to embark on missions to uncover the mysteries of the red planet.
BLIP-2 Description:
a man and woman standing next to a model of a mars roverChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
untitled machine grass wheel ping furniture wagon outer space weapon jeans vehicle shoe transportation racket robot astronomy bag accessories belt shirt outdoor paddle sport chair pants beach footwear carriage sphere table shorts sword airplane folder landing handbag aircraft mars pong land fence plywood wood
Detected Text
iso
100
metering mode
5
aperture
f/4.5
focal length
30mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2006-11-03T15:32:22-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.28%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.20%)
harmonious color
(2.15%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-34.74%)
intrusive object presence
(-15.36%)
lively color
(-7.24%)
low light
(6.93%)
noise
(-1.81%)
pleasant camera tilt
(-6.68%)
pleasant composition
(-79.79%)
pleasant lighting
(-48.83%)
pleasant pattern
(6.13%)
pleasant perspective
(1.49%)
pleasant post processing
(3.13%)
pleasant reflection
(-2.09%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.49%)
tastefully blurred
(-2.69%)
well chosen subject
(-15.22%)
well framed subject
(-31.23%)
well timed shot
(5.87%)
all
(-6.83%)
* 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.