Film Profile · MAD-MAX-FURY-ROAD
Mad Max Fury Road
Detections65,230
Night Frames83%
Dialogue WPM13
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-66% vs genre
21.9/100
Bright
Action Intensity-11% vs genre
45/100
Moderate
People Density-11% vs genre
45/100
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.
Mad Max Fury RoadAction avg · 28 titles
THE ARC
Motion & brightness across the runtime
Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.
Motion Intensity
Brightness
People
STRUCTURE
Scene mix by act
Three-act split — how the visual tone shifts from setup through climax.
PEAKS & VALLEYS
When the film pushes — and breathes
The single most-intense minute and longest stretch of stillness.
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.
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
AI-DISCOVERED FACTS
AI-Discovered Facts — Mad Max Fury Road (2015)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Mad Max: Fury Road is a vibrant behemoth, outclassing the color palette of every other Action film with a stunning 57 out of 100 score, dwarfing its genre average by an average of 26 points.
- 4,474 unique people spotted (70% of frames)
- The longest stretch of silence runs 18 min 37 sec — no dialogue at all.
- Only 3.7% of all detected faces are smiling across the entire film.
- The 5 most intense moments all happen within 5 seconds of each other.
- At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 690 unique words spoken out of 1,600 total — a vocabulary richness of 43.1%.
- AI detected 79 unique object types across 65,230 frame-by-frame detections.
- 665 unique trucks spotted (11% of frames)
- 306 unique cars spotted (3% of frames)
- 209 unique motorcycles spotted (3% of frames)
- Police cars appear in 2% of frames
- 164 unique boats spotted (2% of frames)
- 136 unique trains spotted (1% of frames)
- 138 unique dogs spotted (1% of frames)
- 118 unique horses spotted (1% of frames)
- Features 378 dog appearances
- 198 weapon appearances (2 per minute)
- Only 22% of this film is spoken dialogue
- Longest silence: 19 minutes of unbroken quiet
- 20% of frames are close-ups
- Only 3.7% of face detections are smiling
- The film's emotional journey ends on a neutral note
- Shot predominantly with warm tones
- High color saturation — vivid visual style
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
SIMILAR FILMS
You might also like
Films closest to this one across darkness, action, dialogue, and visual style.
