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Mad Max Fury Road

Film Profile · MAD-MAX-FURY-ROAD

Mad Max Fury Road

2015Action / Adventure / Sci-FiAction2h 0m
Detections65,230
Night Frames83%
Dialogue WPM13
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-75% vs genre
21.9/100

Bright

Action Intensity-91% vs genre
4.5/100

Moderate

People Density-97% vs genre
1.5/100

Intimate

Indoor / Outdoor
3% indoor

Outdoor · 3.1% indoors

Object Diversity
79/100

High

Pacing
0.8 cuts/min

Steady · cuts/min

FINGERPRINT

The full shape, vs. genre

Six axes overlaid against the average for this film's primary genre.

DARKNESS83ACTION45DIALOGUE23PEOPLE45VEHICLES12VISUAL100
Mad Max Fury RoadAction avg · 13 titles

THE ARC

Motion & brightness across the runtime

Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.

Motion Intensity
Brightness
People
0:00 → 120m
02550751000m30m60m90m120m
See every beat →

STRUCTURE

Scene mix by act

Three-act split — how the visual tone shifts from setup through climax.

ACT 1 · SETUP
●outdoor dominates39%
ACT 2 · CONFRONTATION
●outdoor dominates43%
ACT 3 · CLIMAX
●outdoor dominates39%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

The single most-intense minute and longest stretch of stillness.

MOST INTENSE MINUTE
1:26:51
motion 69/100
BREATHING ROOM
3calm stretches
longest 1106.9s at 25:07
All calm sequences · all silences →

CHROMA

Color signature

Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.

Temperaturewarm
Saturationvivid
Frames sampled5,773
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#59331B
26.1%
#965B2F
18.9%
#C2875A
16.0%
#E2CACE
13.3%
#0C4174
12.9%
#AEA2A0
12.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#AD662B
#D5BFC1
#CC8D5E
#673D1F
#818C92
Intimate scenes
#632F12
#AE6934
#B78E7D
#3F4A4D
#D0BFC6
Night scenes
#573019
#915932
#0A3F74
#B88B6D
#D5BFC2
Outdoor scenes
#5E351C
#A6693A
#B89783
#DBC6CA
#0D4275
Romantic scenes
#674024
#BD8051
#CBB0AB
#EAD4DD
#828F99
Vibrant scenes
#7B3E19
#A4612D
#0B4C88
#C47E46
#DB975E

DETECTIONS

What appears on screen most

The four most-present objects — full breakdown with categories in Deep Dive.

Police car2%
Truck11%
Car3%
Motorcycle3%
+ 6 more · person in 70% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

Top 3 actors by screen time, color-coded by dominant emotion.

TH
Tom Hardy
Max Rockatansky
7.6m · angry
ZK
Zoë Kravitz
Toast the Knowing
5.5m · sad
CT
Charlize Theron
Imperator Furiosa
5.2m · sad
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

DIALOGUE

Words across the runtime

Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.

23% dialogue78% silence / score
1,600
total words
13
words / min
Top vocabulary · WPM by act · profanity →