Photos | The Architectural Marvels of Chicago's Edge Race Map
This intricate map showcases the campus buildings, neighborhood intersections, and outdoor parks that make up the exciting route of the Chicago Edge Race 2019.
BLIP-2 Description:
the map for the chicago edge raceChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
900w x 530h - (download 4k)
Usage
Dominant Color:
uber accessibility merchandise gate urban plant lands festival viewing refill meadow clean field exit perks mclaren grounds entry chart hollow paths diagram vip emergency booth toilets 煎 general walking bike keep polo architecture trace south food cate area hellman road city lindley map 限 request airport colden san grass entrance box 国 drinks end neighborhood ca ride intersection vendors francisco 肉肉 station document twin 雪 found parking water medical en office ＋ sutro park building main plot outdoors lost leave campus aug scene marx land plan venue no poster nature ave pass sponsors terminal info advertisement 內
Detected Text
11 2019 25th 27th 30ch 68 9 accessibility area aug ave between bike booth box ca cate clean colden drinks emergency en end entrance entry exit festival field food found francisco gate general grounds hellman hollow info keep lands leave lindley lost main marx mclaren meadow medical merchandise no office on parking pass paths perks polo refill request ride s san scene south sponsors station sutro the toilets trace twin uber vendors venue viewing vip walking water with 內 国 煎 肉肉 限 雪 ＋
date
2019-08-06T14:34:26.737051-07:00
tzoffset
-25200
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.98%)
behavioral
(10.02%)
failure
(-0.12%)
harmonious color
(3.58%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-81.54%)
intrusive object presence
(-3.42%)
lively color
(13.06%)
low light
(0.07%)
noise
(-1.17%)
pleasant camera tilt
(-6.34%)
pleasant composition
(-22.06%)
pleasant lighting
(15.04%)
pleasant pattern
(3.78%)
pleasant perspective
(13.51%)
pleasant post processing
(-21.72%)
pleasant reflection
(-0.02%)
pleasant symmetry
(0.73%)
sharply focused subject
(6.67%)
tastefully blurred
(-6.85%)
well chosen subject
(0.66%)
well framed subject
(23.08%)
well timed shot
(4.34%)
all
(1.12%)
* 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.