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DEEP DIVE · THE-DARK-KNIGHT

The full breakdown

Detection, audio and scene analysis across every frame of The Dark Knight — derived from object recognition, transcript alignment and shot segmentation.

← Back to The Dark Knight
2008Action, Crime, Thriller152.2 min● analyzed May 20, 2026
Total Detections
120,442
objects + faces
Unique Objects
81
distinct types
Detections / min
791.4
avg rate
Night Scenes
96.7%
low-light frames
Words Spoken
10,489
transcribed
Named Actors
15
face-id matched
SIX-AXIS GENOME

Movie DNA radar

DARKNESSACTIONDIALOGUEPEOPLEVEHICLESVISUAL
Darkness
97/100
Action
55/100
Dialogue
42/100
People
60/100
Vehicles
7/100
Visual
81/100
PROFILE

Genome readout

Darkness Index41.8%
Darkness RatingBright
Action Intensity5.5
Action RatingModerate
People Density1.99 people/min
Social RatingIntimate
Vehicle Density0.12 vehicles/min
Chase PotentialMedium
Indoor %52.5%
SettingBalanced
Object Diversity81 types
Visual ComplexityHigh
Pacing SignatureHighly Variable
FUN FACTS

Things the model surfaced

The Dark Knight has more people on screen than 11 out of 11 Action films (60 vs genre avg 46 out of 100)
6,351
unique people spotted (82% of frames)
1,294
unique ties spotted (22% of frames)
550
unique chairs spotted (7% of frames)
589
unique cars spotted (5% of frames)
229
unique tvs spotted (3% of frames)
140
unique wine glasses spotted (1% of frames)
108
unique dining tables spotted (2% of frames)
107
unique books spotted (1% of frames)
125
unique cell phones spotted (2% of frames)
123
unique cups spotted (1% of frames)
96.7%
of the movie takes place at night
Features 265 dog appearances
4,069
cars spotted (vehicle-heavy film)
117
weapon appearances (1 per minute)
Shot predominantly with warm tones