QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · THE-AVENGERS

The full breakdown

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

← Back to The Avengers
2012Sci-Fi, Action, Adventure142.9 min● analyzed May 15, 2026
Total Detections
82,376
objects + faces
Unique Objects
79
distinct types
Detections / min
576.3
avg rate
Night Scenes
71.9%
low-light frames
Words Spoken
8,967
transcribed
Named Actors
13
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·18 distinct types detected
Outdoor
Night
Suspense
Empty
Outdoor38.7%
Night26.7%
Suspense12.5%
Empty10.1%
Nature4.9%
Romantic3.6%
Day1.3%
Action0.6%
Intimate0.4%
Indoor0.3%
General0.3%
Chase0.2%
Substance use0.1%
Fight0.1%
Action crowd0.1%
Police chase0.1%
Armed0.0%
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.
Suspense
Low motion + dark frame + low dialogue density — held tension.
Empty
No faces, low motion, no salient objects — establishing or transitional.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Day
Bright outdoor or daytime lighting.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Indoor
Interior locations — ceilings, walls, controlled lighting.
General
Default bucket — frame did not match any specific scene type.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Substance use
Smoking, drinking, or related object/gesture cues.
Fight
Close-range physical combat — body contact, rapid pose changes.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Police chase
Vehicles + emergency colors / sirens detected.
Armed
Firearms or bladed weapons detected in frame.
Vehicle heavy
Three or more vehicle instances in sustained shots.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:022.9s150.00
002night1:45 – 2:3751.1s2460.00
003outdoor4:25 – 4:250.0s10.10
004outdoor4:49 – 4:490.4s30.17
005night5:41 – 5:443.1s160.10
006night8:37 – 8:370.2s20.10
007outdoor9:10 – 9:110.6s40.13
008day10:50 – 10:500.0s10.00
009outdoor20:46 – 20:460.0s10.10
010intimate20:57 – 20:570.0s10.20
011night21:32 – 21:320.0s10.30
012night23:03 – 23:030.2s20.10
013night23:50 – 23:500.0s10.00
014night25:25 – 25:272.1s110.20
015outdoor28:50 – 28:511.5s80.40
016outdoor31:45 – 31:5712.7s620.40
017outdoor33:28 – 33:312.7s140.00
018night35:00 – 35:010.6s40.82
019outdoor36:03 – 36:030.2s20.25
020outdoor38:07 – 38:081.5s80.49
021night39:15 – 39:150.0s10.20
022outdoor39:51 – 39:510.2s20.35
023night43:46 – 43:492.7s140.10
024outdoor48:09 – 48:100.8s50.10
025night48:21 – 48:254.6s230.10
026outdoor49:53 – 49:540.8s50.03
027indoor53:24 – 53:240.0s10.70
028outdoor56:16 – 56:171.5s80.29
029night56:40 – 56:410.4s30.23
030night57:41 – 57:487.1s350.38
031outdoor59:24 – 59:272.9s150.25
032outdoor59:55 – 59:561.7s90.20
033outdoor1:01:24 – 1:01:240.2s20.20
034outdoor1:04:12 – 1:04:141.7s90.10
035outdoor1:06:55 – 1:06:550.0s10.10
036outdoor1:07:53 – 1:07:551.9s100.28
037night1:09:31 – 1:09:310.4s30.72
038outdoor1:11:10 – 1:11:100.2s20.10
039night1:12:34 – 1:12:372.3s120.19
040outdoor1:13:17 – 1:13:202.9s150.10
041night1:15:59 – 1:15:590.2s20.10
042outdoor1:16:18 – 1:16:180.0s10.10
043night1:17:45 – 1:17:460.6s40.00
044outdoor1:19:08 – 1:19:091.2s70.34
045outdoor1:19:20 – 1:19:200.0s10.10
046outdoor1:19:49 – 1:19:490.0s10.10
047night1:20:24 – 1:20:240.2s20.10
048outdoor1:20:42 – 1:20:420.0s10.10
049night1:21:14 – 1:21:173.8s190.06
050day1:21:41 – 1:21:420.4s30.13
051outdoor1:22:09 – 1:22:090.0s10.20
052night1:22:46 – 1:22:504.0s200.15
053day1:24:58 – 1:24:580.2s20.05
054day1:25:54 – 1:25:540.0s10.10
055outdoor1:26:51 – 1:26:520.8s50.04
056outdoor1:27:18 – 1:27:180.4s30.17
057outdoor1:27:51 – 1:27:542.5s130.16
058night1:29:53 – 1:29:552.1s110.22
059night1:32:12 – 1:32:120.4s30.10
060night1:32:34 – 1:32:340.0s10.10
061night1:37:19 – 1:37:277.9s390.30
062day1:38:57 – 1:38:580.4s30.10
063outdoor1:39:46 – 1:39:460.0s10.00
064action1:40:12 – 1:40:120.6s40.94
065night1:40:54 – 1:40:540.0s10.10
066outdoor1:41:35 – 1:41:372.5s130.30
067day1:42:06 – 1:42:060.0s10.00
068day1:42:41 – 1:42:420.8s50.07
069day1:43:03 – 1:43:030.0s10.00
070outdoor1:43:28 – 1:43:280.0s10.00
071day1:44:11 – 1:44:110.2s20.00
072day1:44:57 – 1:44:570.2s20.10
073night1:45:21 – 1:45:210.4s30.05
074outdoor1:46:09 – 1:46:101.0s60.00
075day1:46:41 – 1:46:410.0s10.00
076outdoor1:48:00 – 1:48:010.8s50.16
077day1:48:55 – 1:48:550.0s10.10
078outdoor1:51:25 – 1:51:5933.8s1630.15
079day1:53:27 – 1:53:281.5s80.01
080day1:53:49 – 1:53:500.2s20.00
081day1:54:12 – 1:54:163.6s180.10
082outdoor1:54:43 – 1:54:474.6s230.40
083outdoor1:55:14 – 1:55:150.8s50.10
084outdoor1:56:27 – 1:56:280.4s30.15
085day1:56:57 – 1:56:570.0s10.10
086night1:58:19 – 1:58:211.2s70.09
087outdoor1:58:37 – 1:58:380.2s20.15
088day2:00:07 – 2:00:080.8s50.03
089day2:00:48 – 2:00:513.1s160.10
090outdoor2:01:49 – 2:01:534.2s210.10
091outdoor2:02:49 – 2:02:490.6s40.05
092day2:03:20 – 2:03:200.2s20.10
093night2:04:00 – 2:04:010.8s50.17
094day2:04:52 – 2:04:552.7s140.07
095night2:05:32 – 2:05:375.0s250.37
096night2:06:26 – 2:06:4317.5s850.07
097day2:07:17 – 2:07:170.4s30.00
098outdoor2:09:22 – 2:09:230.6s40.19
099outdoor2:12:38 – 2:12:412.3s120.17
100night2:14:40 – 2:14:422.1s110.00