Photos | Internal Error Email Notification

An email screenshot notifying the recipient of an internal error while attempting to access a document or webpage.
BLIP-2 Description:
an email screen shot with the word internal errorMetadata
Capture date:
Original Dimensions:
1762w x 924h - (download 4k)
Usage
Dominant Color:
error page web edit redmine window experience access history view th crowdrise help contact ←→ chrome text co continue redesign trying apps wiki document dic schema file webpage line https £ log administrator please changes projects internal problems techniques details files assistance occurred back bookmarks check
Detected Text
a about access administrator an apps are assistance back bookmarks changes check chrome co com contact continue crowdrise details dic edit error experience file files for help history https if internal log occurred on page please problems projects redesign redmine schema techniques th the to trying view web were wiki window you your £ ←→
date
2014-02-05T13:23:50-08:00
tzoffset
-28800
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.98%)
behavioral
(10.02%)
failure
(-0.32%)
harmonious color
(0.70%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-72.27%)
intrusive object presence
(-1.73%)
lively color
(-8.14%)
noise
(-2.78%)
pleasant camera tilt
(-12.82%)
pleasant composition
(-28.03%)
pleasant lighting
(-5.88%)
pleasant pattern
(5.15%)
pleasant perspective
(-0.30%)
pleasant post processing
(-11.47%)
pleasant reflection
(4.73%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.32%)
tastefully blurred
(-13.61%)
well chosen subject
(16.83%)
well framed subject
(-14.27%)
well timed shot
(4.29%)
all
(-2.18%)
* 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.