Photos | Analyzing Data on a Laptop
A graph displayed on the screen of a laptop at Defcon Day 2, 2008.
BLIP-2 Description:
a laptop computer with a graph on the screenMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
outbound pc bnts second ■ foxyproxy current information tools source outline window maximum weekly em gb history mpcon firewall м eos view canon keyboard graphs document macbook hardware ewing average electronics defcon august weeklv graph cacti firewal inbound per pro k bookmarks screen consumer machine taois daily minute summer traffic resire chart total laptop monitor computer micellaneaus disabled
Detected Text
00 02 03 04 06 08 1.16 10 108.22 12 14 14.21 14.99 15.23 16 17.13 18 19.68 2.01 20 22 283.31 30 4.11 5 5.30 57.27 878.53 9 9.49 average bookmarks cacti current defcon disabled em firewal firewall foxyproxy g8 gb graph history its inbound information k m mpcon macbook maximum micellaneaus outbound outline pro resire tools taois total view a bnts daily em2 ewing graphs in minute out per second source traffic weekly window м ■
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
26mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
overall
(26.07%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.17%)
failure
(-0.22%)
harmonious color
(2.29%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-60.64%)
intrusive object presence
(-11.57%)
lively color
(-28.59%)
low light
(4.22%)
noise
(-2.39%)
pleasant camera tilt
(-5.98%)
pleasant composition
(-1.27%)
pleasant lighting
(-33.20%)
pleasant pattern
(1.59%)
pleasant perspective
(17.75%)
pleasant post processing
(6.02%)
pleasant reflection
(-7.50%)
pleasant symmetry
(1.59%)
sharply focused subject
(2.17%)
tastefully blurred
(17.63%)
well chosen subject
(-3.70%)
well framed subject
(73.29%)
well timed shot
(7.06%)
all
(-0.02%)
* 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.