Photos | Train Station View
A parked train stands tall in front of a downtown building, surrounded by palm trees and street lights.
BLIP-2 Description:
a train is parked on the tracks in front of a buildingChronologically 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 train chip rise neighborhood urban plant building cable sf transportation sidewalk area tree ministumbler condo road outdoor sky stumbling city oc traffic michael land station street husband machine aphelion junglescene metropolis path bus mom car vehicle light high railway downtown sf_ministumbler-stumbling_in_sf_with_my_mom_and_her_husband_michael__aphelion_driving_to_oc__seperat town housing streetcar driving lamppost terminal palm seperate
Detected Text
date
2002-08-29T13:26:02-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(49.54%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-0.32%)
harmonious color
(5.03%)
immersiveness
(1.51%)
interaction
(4.00%)
interesting subject
(-13.93%)
intrusive object presence
(-13.65%)
lively color
(-15.12%)
low light
(2.66%)
noise
(-1.61%)
pleasant camera tilt
(-7.82%)
pleasant composition
(-11.04%)
pleasant lighting
(-14.49%)
pleasant pattern
(13.38%)
pleasant perspective
(22.95%)
pleasant post processing
(6.48%)
pleasant reflection
(-2.81%)
pleasant symmetry
(2.64%)
sharply focused subject
(0.73%)
tastefully blurred
(-1.68%)
well chosen subject
(-4.11%)
well framed subject
(11.54%)
well timed shot
(-3.41%)
all
(4.14%)
* 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.