DEEP DIVE · WHIPLASH
The full breakdown
Detection, audio and scene analysis across every frame of Whiplash — derived from object recognition, transcript alignment and shot segmentation.
2014Drama, Music, Thriller106.8 min● analyzed May 26, 2026
Total Detections
79,372
objects + faces
Unique Objects
127
distinct types
Detections / min
743.5
avg rate
Night Scenes
92.2%
low-light frames
Words Spoken
5,607
transcribed
Named Actors
13
face-id matched
SCENE BREAKDOWN
Distribution by type
100 scenes·21 distinct types detected
Outdoor
Night
Suspense
Outdoor35.1%
Night33.6%
Suspense17.6%
Empty5.1%
Romantic3.4%
Nature1.4%
Action0.7%
Intimate0.7%
Fight0.7%
Indoor0.4%
Action crowd0.4%
Creature0.2%
General0.2%
Armed0.1%
Substance use0.1%
Violent0.0%
Chase0.0%
Large crowd0.0%
Police chase0.0%
Disaster0.0%
Fire0.0%
GLOSSARY
What each label means
Outdoor
Exterior locations — sky, open ground, natural light.
Night
Dark or nighttime lighting — mean luminance below 0.25.
Suspense
Low motion + dark frame + low dialogue density — held tension.
Empty
No faces, low motion, no salient objects — establishing or transitional.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Fight
Close-range physical combat — body contact, rapid pose changes.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Action crowd
High motion + high people density — riots, battles, action set pieces.
General
Default bucket — frame did not match any specific scene type.
Armed
Firearms or bladed weapons detected in frame.
Substance use
Smoking, drinking, or related object/gesture cues.
Violent
Weapons + impact events + blood-tone color flags.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Large crowd
Person count exceeds the high-density threshold — concerts, streets, stadia.
Police chase
Vehicles + emergency colors / sirens detected.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
SCENE LIST
100 sampled scenes · spread across runtime
#TypeRangeDurationFramesMotion
001night0:00 – 0:5959.9s2880.03
002night5:10 – 5:110.6s40.06
003night5:38 – 5:380.0s10.90
004indoor6:51 – 6:510.0s11.00
005night7:45 – 7:460.2s20.90
006night8:20 – 8:232.3s120.53
007night8:45 – 9:1327.7s1340.15
008night11:29 – 12:2959.9s2880.58
009indoor15:37 – 15:413.3s171.13
010outdoor15:54 – 15:540.0s10.00
011night16:22 – 16:5230.0s1450.13
012general17:26 – 17:270.2s20.60
013outdoor18:54 – 18:551.0s60.09
014night21:02 – 21:1917.1s830.19
015outdoor22:48 – 22:480.0s10.10
016night23:15 – 23:150.0s10.10
017night24:26 – 24:5326.9s1300.20
018outdoor28:31 – 28:310.0s10.20
019outdoor30:27 – 30:3710.0s490.10
020outdoor30:55 – 30:560.4s30.10
021intimate31:07 – 31:070.2s20.20
022night31:13 – 31:130.0s10.10
023outdoor31:28 – 31:280.0s10.00
024outdoor31:49 – 31:522.7s140.10
025outdoor32:15 – 32:150.0s10.00
026night32:39 – 32:412.9s150.86
027outdoor32:52 – 32:575.4s270.60
028general33:23 – 33:240.8s50.80
029night33:36 – 33:381.7s90.70
030general34:17 – 34:181.2s70.70
031outdoor34:24 – 34:294.6s230.98
032outdoor34:43 – 34:430.0s11.20
033fight34:47 – 34:480.2s20.90
034night35:01 – 35:031.5s80.10
035night35:50 – 36:5059.8s2880.14
036night38:53 – 39:0815.6s760.16
037night39:19 – 39:201.7s90.26
038indoor39:41 – 39:410.2s20.95
039night41:46 – 41:537.1s350.11
040general43:37 – 43:380.6s40.30
041intimate43:44 – 43:440.0s10.20
042night43:54 – 44:1319.2s930.10
043indoor46:53 – 46:551.5s81.57
044night48:30 – 49:3059.8s2880.39
045outdoor50:41 – 50:410.4s30.35
046outdoor51:31 – 51:354.2s210.19
047indoor52:21 – 52:210.0s11.60
048night52:26 – 52:260.6s40.59
049night52:33 – 52:385.0s250.00
050night55:53 – 56:5359.8s2880.10
051night1:00:49 – 1:00:490.0s10.30
052action_crowd1:02:37 – 1:02:370.0s11.50
053outdoor1:02:50 – 1:02:511.7s90.27
054general1:03:01 – 1:03:010.0s10.30
055outdoor1:03:21 – 1:03:210.0s10.20
056outdoor1:03:37 – 1:03:370.0s10.20
057outdoor1:03:47 – 1:03:470.0s10.10
058night1:04:04 – 1:04:040.2s20.15
059night1:04:14 – 1:05:0955.1s2650.38
060outdoor1:05:53 – 1:05:530.0s10.10
061outdoor1:06:01 – 1:06:020.6s40.15
062night1:06:14 – 1:06:140.0s10.40
063night1:06:20 – 1:06:3414.4s700.24
064night1:07:07 – 1:07:125.0s250.10
065outdoor1:07:21 – 1:07:210.0s10.10
066outdoor1:07:31 – 1:07:320.2s20.20
067night1:07:50 – 1:07:522.5s130.26
068night1:07:56 – 1:08:015.0s250.10
069night1:08:39 – 1:08:456.1s300.10
070night1:09:55 – 1:10:2833.2s1600.12
071indoor1:10:45 – 1:10:461.5s80.97
072night1:10:57 – 1:10:591.9s100.39
073intimate1:11:22 – 1:11:296.9s340.20
074outdoor1:12:00 – 1:12:000.0s10.10
075outdoor1:12:38 – 1:12:380.0s10.10
076outdoor1:13:23 – 1:13:306.3s310.10
077night1:16:31 – 1:17:3159.9s2880.28
078outdoor1:23:49 – 1:23:500.6s40.10
079night1:25:49 – 1:25:500.2s20.50
080outdoor1:27:43 – 1:27:507.5s370.10
081outdoor1:28:43 – 1:28:484.6s230.10
082outdoor1:28:58 – 1:28:580.0s10.00
083night1:30:27 – 1:30:335.4s270.10
084night1:32:05 – 1:32:1813.6s660.10
085night1:33:30 – 1:33:5625.9s1250.12
086night1:34:35 – 1:34:393.3s170.05
087outdoor1:34:53 – 1:34:540.6s40.50
088night1:34:58 – 1:35:3032.1s1550.05
089outdoor1:35:33 – 1:35:330.4s30.07
090indoor1:35:54 – 1:35:540.2s21.00
091outdoor1:37:03 – 1:37:030.0s10.10
092night1:37:08 – 1:37:4133.0s1590.09
093intimate1:37:46 – 1:37:460.0s10.10
094night1:37:52 – 1:38:0513.1s640.09
095night1:38:29 – 1:38:323.5s180.08
096night1:38:41 – 1:38:442.7s140.04
097outdoor1:39:00 – 1:39:011.5s80.07
098outdoor1:41:15 – 1:41:150.2s20.00
099night1:41:22 – 1:41:307.7s380.15
100night1:41:35 – 1:41:350.0s10.10