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DEEP DIVE · MAD-MAX-FURY-ROAD

The full breakdown

Detection, audio and scene analysis across every frame of Mad Max Fury Road — derived from object recognition, transcript alignment and shot segmentation.

← Back to Mad Max Fury Road
2015Action, Adventure, Sci-Fi120.4 min● analyzed May 15, 2026
Total Detections
65,230
objects + faces
Unique Objects
78
distinct types
Detections / min
541.8
avg rate
Night Scenes
82.9%
low-light frames
Words Spoken
1,600
transcribed
Named Actors
14
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·17 distinct types detected
Outdoor
Night
Empty
Suspense
Outdoor39.2%
Night28.6%
Empty11.7%
Suspense10.8%
Nature4.6%
Romantic4.0%
Action0.4%
Action crowd0.2%
Chase0.2%
Intimate0.1%
Police chase0.1%
Armed0.1%
Substance use0.0%
Sci fi0.0%
General0.0%
Fight0.0%
Vehicle heavy0.0%
GLOSSARY

What each label means

Outdoor
Exterior locations — sky, open ground, natural light.
Night
Dark or nighttime lighting — mean luminance below 0.25.
Empty
No faces, low motion, no salient objects — establishing or transitional.
Suspense
Low motion + dark frame + low dialogue density — held tension.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Police chase
Vehicles + emergency colors / sirens detected.
Armed
Firearms or bladed weapons detected in frame.
Substance use
Smoking, drinking, or related object/gesture cues.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
General
Default bucket — frame did not match any specific scene type.
Fight
Close-range physical combat — body contact, rapid pose changes.
Vehicle heavy
Three or more vehicle instances in sustained shots.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:4747.5s2290.00
002night2:36 – 2:381.9s100.00
003night5:19 – 5:201.2s70.10
004night5:45 – 5:527.3s360.00
005night10:46 – 10:5610.4s510.10
006night12:13 – 12:3420.6s1000.36
007night14:54 – 15:3338.8s1870.14
008night16:52 – 16:553.3s170.11
009outdoor17:52 – 17:520.0s10.10
010outdoor18:51 – 18:554.2s210.00
011night19:57 – 19:580.6s40.13
012night20:24 – 20:240.0s10.20
013outdoor20:53 – 20:530.0s10.20
014outdoor21:39 – 21:390.0s10.10
015night22:07 – 22:080.8s50.09
016night22:36 – 22:360.0s10.20
017outdoor23:15 – 23:150.0s10.10
018outdoor23:36 – 23:382.3s120.10
019night24:10 – 24:121.5s80.12
020night24:30 – 24:300.0s10.00
021night25:08 – 25:090.6s40.51
022night26:10 – 26:132.9s150.10
023outdoor26:31 – 26:310.0s10.50
024outdoor27:12 – 27:120.2s20.15
025night27:26 – 27:260.2s20.05
026night27:33 – 27:330.0s10.10
027outdoor27:46 – 27:460.0s10.10
028outdoor28:03 – 28:030.2s20.00
029night28:19 – 28:200.6s40.00
030night28:27 – 28:291.5s80.07
031outdoor28:48 – 28:480.0s10.00
032outdoor29:14 – 29:140.0s10.10
033night29:32 – 29:320.6s40.10
034night29:47 – 29:470.6s40.10
035outdoor29:58 – 29:580.2s20.00
036outdoor31:00 – 31:1615.9s770.13
037night32:07 – 32:091.0s60.20
038night33:14 – 33:172.3s120.10
039outdoor34:04 – 34:061.0s60.23
040outdoor35:31 – 35:354.4s220.11
041night36:02 – 36:020.0s10.00
042night36:22 – 36:220.6s40.15
043outdoor36:43 – 36:430.0s10.10
044outdoor37:04 – 37:040.2s20.30
045night37:27 – 37:302.9s150.21
046night38:30 – 38:321.9s100.10
047outdoor40:16 – 40:226.1s300.10
048outdoor42:14 – 42:140.0s10.10
049night43:43 – 44:3955.7s2680.12
050night45:45 – 46:2640.9s1970.19
051night48:10 – 49:1059.8s2880.03
052outdoor52:37 – 52:435.6s280.32
053night53:43 – 53:430.6s40.26
054night54:10 – 54:144.2s210.12
055outdoor54:51 – 54:521.2s70.19
056outdoor55:30 – 55:300.0s10.20
057night55:46 – 55:460.0s10.10
058night56:38 – 57:0830.0s1450.10
059outdoor57:43 – 57:430.6s40.00
060outdoor58:07 – 58:070.4s30.05
061night58:46 – 58:460.0s10.10
062night1:00:13 – 1:00:140.4s30.30
063outdoor1:00:46 – 1:00:471.0s60.10
064outdoor1:02:00 – 1:02:000.2s20.10
065night1:08:36 – 1:09:3659.9s2880.20
066night1:15:12 – 1:15:130.6s40.07
067outdoor1:19:19 – 1:19:190.0s10.10
068night1:19:52 – 1:19:531.1s60.48
069outdoor1:21:32 – 1:21:320.0s10.90
070night1:26:36 – 1:26:381.2s70.73
071outdoor1:27:38 – 1:27:478.3s410.30
072outdoor1:28:55 – 1:28:572.1s110.20
073outdoor1:30:32 – 1:30:364.8s240.12
074outdoor1:31:02 – 1:31:020.4s30.13
075night1:32:06 – 1:32:070.6s40.33
076night1:32:47 – 1:32:491.9s100.20
077outdoor1:33:23 – 1:33:296.0s300.20
078outdoor1:34:05 – 1:34:061.5s80.10
079night1:34:37 – 1:34:402.7s140.12
080night1:35:16 – 1:35:192.5s130.01
081outdoor1:35:38 – 1:35:413.1s160.12
082outdoor1:36:18 – 1:36:202.1s110.11
083night1:36:42 – 1:36:420.4s30.10
084night1:37:23 – 1:37:240.8s50.25
085outdoor1:37:50 – 1:37:510.6s40.10
086outdoor1:38:52 – 1:38:541.7s90.17
087night1:39:40 – 1:39:444.2s210.03
088night1:40:04 – 1:40:062.5s130.20
089outdoor1:40:28 – 1:40:301.5s80.07
090outdoor1:41:21 – 1:41:220.4s30.10
091night1:42:16 – 1:42:2711.1s540.18
092night1:42:51 – 1:42:542.3s120.12
093night1:43:10 – 1:43:100.0s10.10
094night1:43:30 – 1:43:300.0s10.10
095outdoor1:43:48 – 1:43:490.4s30.17
096outdoor1:44:04 – 1:44:040.0s10.00
097night1:44:31 – 1:44:331.7s90.13
098night1:45:25 – 1:45:4519.2s930.12
099outdoor1:46:57 – 1:46:580.4s30.10
100outdoor1:51:00 – 1:51:033.1s160.67