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DEEP DIVE · AVATAR

The full breakdown

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

← Back to Avatar
2009Sci-Fi, Action, Adventure178.2 min● analyzed Jun 8, 2026
Total Detections
104,651
objects + faces
Unique Objects
118
distinct types
Detections / min
587.4
avg rate
Night Scenes
23.3%
low-light frames
Words Spoken
7,286
transcribed
Named Actors
10
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·22 distinct types detected
Outdoor
Night
Empty
Nature
Outdoor41.5%
Night21.9%
Empty13.1%
Nature10.0%
Suspense5.6%
Romantic5.2%
Action0.6%
Day0.5%
General0.3%
Sci fi0.3%
Intimate0.2%
Violent0.2%
Action crowd0.2%
Armed0.1%
Fight0.1%
Fire0.1%
Military0.1%
Disaster0.0%
Creature0.0%
Indoor0.0%
Aerial0.0%
Police chase0.0%
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.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Suspense
Low motion + dark frame + low dialogue density — held tension.
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.
Day
Bright outdoor or daytime lighting.
General
Default bucket — frame did not match any specific scene type.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Violent
Weapons + impact events + blood-tone color flags.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Armed
Firearms or bladed weapons detected in frame.
Fight
Close-range physical combat — body contact, rapid pose changes.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
Military
Uniforms, ordnance, or military vehicles detected.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Aerial
Bird’s-eye / drone shots — high vanishing point, low parallax.
Police chase
Vehicles + emergency colors / sirens detected.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:011.0s60.00
002intimate1:45 – 1:450.2s20.20
003outdoor3:18 – 3:234.2s210.09
004night5:24 – 5:5429.6s1430.10
005general7:57 – 7:570.2s20.45
006outdoor9:58 – 10:1617.5s850.26
007outdoor11:18 – 11:212.7s141.13
008night13:16 – 13:236.2s310.30
009night14:53 – 15:0410.6s520.90
010general15:58 – 15:590.2s20.40
011general16:28 – 16:280.2s20.75
012general16:56 – 16:560.0s10.80
013general17:22 – 17:230.6s40.75
014outdoor18:29 – 18:290.0s10.20
015night19:31 – 19:320.8s50.30
016outdoor20:24 – 20:250.8s50.22
017outdoor21:21 – 21:210.0s10.10
018outdoor22:40 – 22:400.0s10.10
019night28:02 – 28:052.7s140.20
020outdoor29:33 – 29:330.2s20.30
021night31:22 – 31:231.0s60.10
022outdoor34:37 – 34:391.5s80.10
023night36:08 – 36:091.0s60.06
024outdoor38:35 – 38:393.5s180.20
025night40:11 – 40:164.8s240.10
026outdoor40:57 – 40:570.0s10.10
027night51:10 – 51:188.3s410.24
028outdoor55:35 – 55:350.4s30.85
029general56:20 – 56:200.0s10.70
030outdoor58:28 – 58:280.0s10.20
031night1:00:30 – 1:00:310.6s40.07
032day1:02:15 – 1:02:205.2s260.13
033outdoor1:04:37 – 1:04:370.0s10.30
034night1:06:03 – 1:06:052.3s120.00
035night1:07:03 – 1:07:2925.9s1250.12
036night1:08:57 – 1:09:0811.5s560.20
037outdoor1:10:56 – 1:10:560.2s20.20
038outdoor1:15:29 – 1:15:333.3s170.15
039outdoor1:21:58 – 1:22:4244.0s2120.01
040outdoor1:24:11 – 1:24:4634.6s1670.32
041night1:27:00 – 1:27:000.0s10.00
042outdoor1:28:28 – 1:28:280.2s20.00
043night1:28:50 – 1:28:500.0s10.10
044general1:31:12 – 1:31:152.5s130.43
045outdoor1:33:34 – 1:33:384.0s200.83
046night1:35:43 – 1:35:440.4s30.20
047outdoor1:38:23 – 1:38:241.2s70.20
048outdoor1:39:59 – 1:40:1313.6s660.23
049outdoor1:41:39 – 1:41:390.2s20.20
050night1:42:43 – 1:42:452.3s120.09
051outdoor1:43:29 – 1:43:290.4s30.28
052outdoor1:44:08 – 1:44:113.1s160.10
053general1:45:07 – 1:45:070.0s10.80
054night1:46:20 – 1:46:200.2s20.80
055outdoor1:47:19 – 1:47:190.4s30.28
056night1:48:49 – 1:48:512.5s130.26
057night1:49:48 – 1:49:5810.4s510.10
058outdoor1:51:14 – 1:51:140.2s20.15
059day1:52:33 – 1:52:330.2s20.25
060night1:53:58 – 1:54:001.9s100.18
061night1:55:10 – 1:55:100.8s50.11
062outdoor1:56:31 – 1:56:4513.8s670.05
063outdoor1:58:07 – 1:58:091.9s100.52
064night1:59:05 – 1:59:093.3s170.40
065outdoor2:00:32 – 2:00:320.0s10.20
066night2:01:41 – 2:01:487.3s360.56
067night2:02:45 – 2:02:460.6s40.23
068general2:03:34 – 2:03:340.0s10.40
069outdoor2:04:42 – 2:04:420.0s10.10
070night2:07:27 – 2:07:5023.4s1130.05
071outdoor2:09:19 – 2:09:200.4s30.17
072night2:11:15 – 2:11:183.3s170.10
073outdoor2:13:15 – 2:13:161.0s60.14
074outdoor2:14:03 – 2:14:030.6s40.09
075outdoor2:15:04 – 2:15:073.1s160.06
076outdoor2:17:34 – 2:17:340.0s10.10
077night2:22:58 – 2:23:023.5s180.10
078outdoor2:25:48 – 2:25:491.0s60.12
079outdoor2:27:10 – 2:27:122.1s110.04
080night2:28:47 – 2:28:480.4s30.07
081outdoor2:29:26 – 2:29:260.0s10.00
082day2:30:47 – 2:30:480.4s30.15
083outdoor2:31:57 – 2:31:570.2s20.10
084intimate2:33:39 – 2:33:390.0s10.20
085night2:35:00 – 2:35:000.2s20.10
086outdoor2:35:28 – 2:35:280.2s20.10
087night2:36:42 – 2:36:420.6s40.16
088night2:37:54 – 2:37:551.0s60.35
089outdoor2:39:05 – 2:39:050.0s10.00
090outdoor2:39:37 – 2:39:370.0s10.10
091night2:40:29 – 2:40:301.2s70.01
092outdoor2:40:57 – 2:41:035.6s280.00
093night2:41:54 – 2:41:551.0s60.10
094outdoor2:42:17 – 2:42:170.2s20.05
095night2:42:47 – 2:42:480.8s50.15
096night2:43:30 – 2:43:310.2s20.05
097outdoor2:44:07 – 2:44:081.5s80.14
098night2:45:01 – 2:45:032.5s130.10
099night2:47:10 – 2:47:122.5s130.06
100outdoor2:50:37 – 2:50:391.9s100.11