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DEEP DIVE · STEP-BROTHERS

The full breakdown

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

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2008Comedy105.5 min● analyzed May 15, 2026

Total Detections

137,998

objects + faces

Unique Objects

78

distinct types

Detections / min

1307.4

avg rate

Night Scenes

73.4%

low-light frames

Words Spoken

11,716

transcribed

Named Actors

11

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·20 distinct types detected

Outdoor

Night

Suspense

Outdoor36.7%

Night30.9%

Suspense8.4%

Romantic5.6%

Empty4.0%

Action2.9%

Fight2.6%

General1.9%

Indoor1.8%

Intimate1.8%

Action crowd1.5%

Nature1.0%

Substance use0.7%

Day0.1%

Armed0.1%

Police chase0.1%

Chase0.0%

Large crowd0.0%

Vehicle heavy0.0%

Sci fi0.0%

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.

Romantic

Two-person framing with warm color flag + low motion + close proximity.

Empty

No faces, low motion, no salient objects — establishing or transitional.

Action

General high-motion footage that doesn’t fit a more specific subtype.

Fight

Close-range physical combat — body contact, rapid pose changes.

General

Default bucket — frame did not match any specific scene type.

Indoor

Interior locations — ceilings, walls, controlled lighting.

Intimate

Two-person framing, close shot, low motion, sustained dialogue.

Action crowd

High motion + high people density — riots, battles, action set pieces.

Nature

Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.

Substance use

Smoking, drinking, or related object/gesture cues.

Day

Bright outdoor or daytime lighting.

Armed

Firearms or bladed weapons detected in frame.

Police chase

Vehicles + emergency colors / sirens detected.

Chase

Sustained pursuit — high motion vectors + vehicles or running figures.

Large crowd

Person count exceeds the high-density threshold — concerts, streets, stadia.

Vehicle heavy

Three or more vehicle instances in sustained shots.

Sci fi

Out-of-distribution objects, synthetic environments, unusual color palettes.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:022.5s130.03

002intimate1:10 – 1:100.0s10.20

003general1:26 – 1:260.4s30.68

004action1:50 – 1:500.0s11.00

005night2:50 – 2:511.0s60.17

006action3:00 – 3:000.2s21.25

007action3:12 – 3:120.0s11.60

008outdoor3:31 – 3:331.7s90.45

009indoor4:27 – 4:336.3s310.88

010night5:43 – 5:506.7s330.99

011night7:39 – 7:412.5s130.56

012indoor9:38 – 9:401.7s91.76

013night11:58 – 11:580.0s11.50

014indoor12:28 – 12:280.2s21.65

015night13:49 – 13:501.5s80.19

016intimate14:35 – 14:360.2s20.20

017outdoor15:10 – 15:100.0s10.10

018night15:29 – 15:290.0s10.50

019night18:06 – 18:060.2s20.15

020night19:03 – 19:3228.8s1390.23

021outdoor20:29 – 20:290.0s10.10

022outdoor20:45 – 20:450.0s10.20

023outdoor21:05 – 21:2015.2s740.22

024outdoor21:57 – 21:570.0s10.10

025night22:37 – 22:402.3s120.10

026outdoor23:32 – 23:352.7s140.10

027night26:10 – 26:199.0s440.13

028outdoor27:02 – 27:020.0s10.10

029night27:19 – 27:190.0s10.20

030outdoor27:57 – 27:570.0s10.30

031outdoor28:38 – 28:391.0s60.10

032night29:31 – 29:342.7s140.43

033outdoor30:54 – 30:584.0s201.10

034outdoor34:50 – 34:532.9s150.21

035outdoor36:25 – 36:261.1s60.20

036night37:25 – 37:250.0s10.30

037night37:46 – 37:460.0s10.20

038outdoor38:21 – 38:275.8s290.56

039night39:39 – 39:5919.8s960.35

040outdoor40:26 – 40:260.0s10.60

041general40:36 – 40:371.2s70.57

042general40:49 – 40:490.6s40.30

043outdoor41:29 – 41:300.4s30.68

044general41:57 – 41:581.5s80.52

045general42:49 – 42:501.7s90.50

046outdoor43:17 – 43:170.4s30.30

047outdoor43:32 – 43:320.0s10.10

048general44:09 – 44:134.2s210.50

049night45:05 – 45:105.2s260.29

050night45:42 – 45:518.3s410.57

051night46:45 – 46:504.8s240.26

052night47:52 – 47:520.8s50.40

053indoor49:47 – 49:470.0s10.70

054night51:35 – 51:372.3s120.30

055outdoor52:52 – 52:520.6s40.10

056night54:00 – 54:088.1s400.20

057indoor55:29 – 55:290.0s10.60

058outdoor58:13 – 58:140.8s50.39

059outdoor1:01:42 – 1:01:475.4s270.10

060outdoor1:07:26 – 1:07:260.6s40.06

061intimate1:07:54 – 1:07:540.0s10.20

062outdoor1:08:29 – 1:08:300.6s40.11

063night1:08:47 – 1:08:480.8s50.10

064night1:09:31 – 1:09:365.6s280.20

065fight1:10:05 – 1:10:050.0s11.40

066indoor1:10:31 – 1:10:321.0s61.12

067fight1:11:31 – 1:11:320.2s21.30

068indoor1:12:23 – 1:12:262.5s130.95

069night1:14:24 – 1:14:3915.4s750.13

070night1:18:00 – 1:18:076.7s330.35

071outdoor1:19:20 – 1:19:276.5s320.25

072indoor1:20:24 – 1:20:240.0s11.00

073outdoor1:20:57 – 1:20:570.0s10.40

074night1:21:22 – 1:21:242.5s130.30

075outdoor1:22:02 – 1:22:041.7s91.16

076action_crowd1:22:19 – 1:22:190.0s11.50

077outdoor1:23:20 – 1:23:200.2s21.20

078action1:23:55 – 1:23:560.4s31.85

079action1:24:47 – 1:24:470.2s22.05

080action_crowd1:25:02 – 1:25:020.2s22.10

081action_crowd1:25:32 – 1:25:320.0s12.20

082outdoor1:26:01 – 1:26:021.0s61.48

083action_crowd1:26:20 – 1:26:200.2s21.25

084action1:26:35 – 1:26:361.0s61.79

085indoor1:27:06 – 1:27:060.2s21.85

086action_crowd1:27:25 – 1:27:250.0s12.20

087action_crowd1:27:39 – 1:27:390.0s12.30

088indoor1:28:31 – 1:28:310.0s12.50

089outdoor1:29:27 – 1:29:270.0s10.20

090outdoor1:30:41 – 1:30:421.7s91.91

091night1:32:00 – 1:32:033.8s190.25

092night1:32:42 – 1:32:474.6s230.12

093outdoor1:33:39 – 1:33:411.7s91.95

094action1:34:35 – 1:34:350.0s11.00

095outdoor1:36:47 – 1:36:481.2s70.15

096general1:37:07 – 1:37:070.4s30.40

097general1:37:14 – 1:37:140.0s10.40

098night1:37:22 – 1:37:231.7s90.40

099general1:37:43 – 1:37:430.4s30.45

100night1:39:57 – 1:40:002.7s141.31