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DEEP DIVE · MIDSOMMAR

The full breakdown

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

← Back to Midsommar
2019Horror, Drama, Mystery147.1 min● analyzed May 27, 2026
Total Detections
210,670
objects + faces
Unique Objects
135
distinct types
Detections / min
1432.3
avg rate
Night Scenes
34.0%
low-light frames
Words Spoken
6,494
transcribed
Named Actors
15
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·24 distinct types detected
Outdoor
Night
Outdoor43.1%
Night15.5%
Empty7.1%
Suspense6.1%
Action5.4%
Day4.6%
Action crowd4.5%
Romantic4.3%
Nature3.1%
General2.0%
Fight1.2%
Intimate0.9%
Indoor0.9%
Creature0.7%
Fire0.3%
Disaster0.1%
Violent0.1%
Police chase0.1%
Substance use0.1%
Armed0.0%
Military0.0%
Large crowd0.0%
Chase0.0%
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.
Empty
No faces, low motion, no salient objects — establishing or transitional.
Suspense
Low motion + dark frame + low dialogue density — held tension.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Day
Bright outdoor or daytime lighting.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
General
Default bucket — frame did not match any specific scene type.
Fight
Close-range physical combat — body contact, rapid pose changes.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
Violent
Weapons + impact events + blood-tone color flags.
Police chase
Vehicles + emergency colors / sirens detected.
Substance use
Smoking, drinking, or related object/gesture cues.
Armed
Firearms or bladed weapons detected in frame.
Military
Uniforms, ordnance, or military vehicles detected.
Large crowd
Person count exceeds the high-density threshold — concerts, streets, stadia.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:2323.8s1150.07
002night6:41 – 6:410.0s10.50
003night8:40 – 9:4059.9s2880.10
004outdoor13:35 – 13:372.5s130.20
005indoor19:05 – 19:050.0s11.00
006indoor19:19 – 19:190.0s11.30
007night19:46 – 19:460.0s11.00
008night20:20 – 21:2059.8s2880.30
009indoor23:15 – 23:172.5s131.16
010general23:21 – 23:220.6s40.33
011general24:04 – 24:040.0s10.30
012outdoor26:05 – 26:137.7s380.25
013day32:21 – 32:221.0s60.10
014outdoor38:54 – 39:5459.9s2881.19
015outdoor45:58 – 45:580.2s20.25
016outdoor46:50 – 46:511.0s60.33
017outdoor46:57 – 46:570.4s30.30
018general47:22 – 47:220.0s10.60
019outdoor48:01 – 48:021.7s90.60
020day48:29 – 48:290.2s20.15
021general52:35 – 52:350.8s50.80
022action52:40 – 52:400.0s10.90
023action52:43 – 52:430.4s30.93
024action53:08 – 53:080.2s21.40
025outdoor53:31 – 53:310.0s11.30
026outdoor53:44 – 53:440.0s10.70
027general54:09 – 54:101.2s70.70
028action54:37 – 54:370.6s41.40
029action_crowd55:16 – 55:248.5s421.44
030day59:15 – 1:00:0853.2s2560.23
031day1:04:34 – 1:05:3459.9s2880.40
032general1:07:18 – 1:07:202.1s110.47
033indoor1:08:44 – 1:08:440.0s10.70
034indoor1:09:11 – 1:09:121.0s60.50
035outdoor1:10:19 – 1:10:256.2s310.13
036outdoor1:11:09 – 1:11:090.0s10.20
037general1:11:22 – 1:11:252.5s130.30
038general1:11:29 – 1:11:334.2s210.30
039general1:11:49 – 1:11:523.1s160.30
040outdoor1:12:24 – 1:12:5531.5s1520.15
041night1:16:04 – 1:16:061.7s90.09
042outdoor1:19:30 – 1:19:333.3s170.93
043action1:24:41 – 1:24:410.0s11.30
044action_crowd1:27:25 – 1:27:261.9s101.69
045action_crowd1:27:34 – 1:27:340.0s11.80
046action_crowd1:27:51 – 1:27:510.0s11.70
047action_crowd1:28:02 – 1:28:020.0s12.20
048action_crowd1:28:13 – 1:28:130.2s21.60
049outdoor1:28:31 – 1:28:5321.5s1041.25
050action1:30:17 – 1:30:202.9s151.08
051general1:30:26 – 1:30:260.0s10.50
052outdoor1:30:49 – 1:30:490.4s30.93
053night1:33:44 – 1:33:5511.5s560.10
054outdoor1:34:35 – 1:34:350.2s22.25
055outdoor1:36:02 – 1:36:042.9s151.14
056outdoor1:36:49 – 1:36:490.0s10.00
057action1:37:11 – 1:37:110.0s11.00
058outdoor1:37:16 – 1:37:160.0s11.60
059outdoor1:37:28 – 1:37:291.3s70.96
060outdoor1:39:00 – 1:39:2828.4s1370.40
061outdoor1:39:55 – 1:39:550.0s10.20
062indoor1:40:14 – 1:40:150.2s20.55
063general1:40:39 – 1:40:400.4s30.55
064outdoor1:42:46 – 1:42:481.9s100.79
065day1:45:40 – 1:45:400.2s20.10
066outdoor1:48:54 – 1:49:3642.6s2050.37
067outdoor1:49:51 – 1:49:510.0s11.30
068outdoor1:50:15 – 1:50:150.0s11.00
069action_crowd1:50:37 – 1:50:436.7s331.81
070action1:51:04 – 1:51:061.9s101.49
071fight1:51:31 – 1:51:310.0s10.90
072outdoor1:51:56 – 1:51:571.1s60.77
073outdoor1:52:09 – 1:52:134.0s200.21
074action1:52:21 – 1:52:220.6s41.00
075outdoor1:52:30 – 1:52:377.1s350.53
076action1:53:15 – 1:53:150.0s11.10
077action1:53:26 – 1:53:271.7s91.04
078outdoor1:53:34 – 1:53:4915.4s751.04
079general1:53:59 – 1:53:590.0s10.70
080action_crowd1:54:32 – 1:54:330.2s21.50
081general1:55:26 – 1:55:260.0s10.40
082intimate1:56:05 – 1:56:050.0s10.20
083fight1:56:16 – 1:56:160.2s21.05
084night1:57:45 – 1:57:494.2s210.15
085outdoor2:00:22 – 2:00:252.9s150.10
086night2:02:06 – 2:02:2216.3s790.16
087general2:05:22 – 2:05:220.0s10.60
088night2:05:33 – 2:05:340.4s30.42
089outdoor2:09:05 – 2:09:094.4s220.19
090outdoor2:09:25 – 2:09:250.2s20.20
091intimate2:11:48 – 2:11:512.9s150.20
092action2:13:02 – 2:13:020.0s11.00
093action_crowd2:13:25 – 2:13:261.2s71.23
094intimate2:13:51 – 2:13:510.0s10.20
095outdoor2:16:12 – 2:16:120.2s20.45
096day2:18:57 – 2:19:2831.9s1541.01
097outdoor2:19:44 – 2:19:505.8s290.07
098day2:20:44 – 2:20:440.0s10.00
099day2:21:29 – 2:21:312.3s120.65
100outdoor2:21:43 – 2:21:441.0s60.63