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DEEP DIVE · WALLE

The full breakdown

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

← Back to WALL-E
2008Drama98.2 min● analyzed Jun 10, 2026
Total Detections
22,934
objects + faces
Unique Objects
120
distinct types
Detections / min
233.5
avg rate
Night Scenes
26.6%
low-light frames
Words Spoken
1,742
transcribed
Named Actors
5
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·20 distinct types detected
Outdoor
Empty
Nature
Night
Outdoor33.7%
Empty27.2%
Nature18.7%
Night13.8%
Day3.5%
Suspense1.3%
Intimate0.5%
Romantic0.5%
Military0.2%
General0.2%
Armed0.1%
Disaster0.0%
Violent0.0%
Action0.0%
Sci fi0.0%
Fire0.0%
Fight0.0%
Indoor0.0%
Creature0.0%
Police chase0.0%
GLOSSARY

What each label means

Outdoor
Exterior locations — sky, open ground, natural light.
Empty
No faces, low motion, no salient objects — establishing or transitional.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Night
Dark or nighttime lighting — mean luminance below 0.25.
Day
Bright outdoor or daytime lighting.
Suspense
Low motion + dark frame + low dialogue density — held tension.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Military
Uniforms, ordnance, or military vehicles detected.
General
Default bucket — frame did not match any specific scene type.
Armed
Firearms or bladed weapons detected in frame.
Violent
Weapons + impact events + blood-tone color flags.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
Fight
Close-range physical combat — body contact, rapid pose changes.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Police chase
Vehicles + emergency colors / sirens detected.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:1313.3s650.00
002outdoor2:29 – 2:4212.5s610.11
003outdoor4:03 – 4:030.2s20.45
004outdoor4:30 – 4:300.4s30.07
005day5:33 – 5:330.2s20.45
006night6:05 – 6:138.3s410.09
007day9:42 – 9:529.6s470.16
008day10:38 – 10:391.0s60.05
009outdoor12:50 – 12:510.8s50.16
010outdoor13:44 – 13:440.0s10.00
011outdoor15:22 – 15:3614.6s710.03
012outdoor16:53 – 16:584.4s220.02
013day17:41 – 17:442.3s120.13
014outdoor18:43 – 18:5411.5s560.07
015outdoor19:50 – 19:566.3s310.06
016outdoor21:08 – 21:112.7s140.10
017night22:06 – 22:060.0s10.10
018outdoor22:40 – 22:411.0s60.11
019outdoor22:54 – 22:540.0s10.10
020intimate23:24 – 23:240.2s20.10
021outdoor25:43 – 25:452.3s120.56
022outdoor28:27 – 28:280.6s40.06
023outdoor28:48 – 28:490.6s40.05
024day29:58 – 30:034.6s230.04
025day31:27 – 31:3810.4s510.03
026intimate32:25 – 32:250.0s10.10
027outdoor32:59 – 33:078.1s400.17
028outdoor33:43 – 33:484.2s210.00
029outdoor35:56 – 35:592.3s120.01
030outdoor36:47 – 37:1022.7s1100.02
031outdoor38:17 – 38:180.6s40.00
032outdoor38:56 – 39:1620.2s980.15
033intimate40:05 – 40:050.0s10.20
034day40:10 – 40:110.2s20.00
035outdoor41:26 – 41:271.4s80.19
036outdoor41:50 – 41:500.0s10.00
037intimate41:55 – 41:550.0s10.10
038outdoor42:24 – 42:240.4s30.15
039night43:11 – 43:131.9s100.01
040intimate44:25 – 44:250.0s10.10
041night45:01 – 45:1513.3s650.17
042outdoor45:57 – 46:047.3s360.08
043outdoor46:25 – 46:250.0s10.30
044night47:08 – 47:080.0s10.30
045night48:07 – 48:070.0s10.00
046outdoor49:56 – 49:570.6s40.10
047outdoor51:12 – 51:175.2s260.00
048night51:51 – 51:521.9s100.17
049day52:41 – 52:421.2s70.05
050outdoor53:31 – 53:331.0s60.01
051day54:20 – 54:254.8s240.03
052outdoor54:47 – 54:481.0s60.01
053night55:50 – 55:522.3s120.13
054night56:26 – 56:271.2s70.05
055night56:40 – 56:421.7s90.12
056intimate57:25 – 57:250.6s40.11
057night57:41 – 57:431.9s100.21
058outdoor58:14 – 58:151.2s70.09
059night58:37 – 58:370.0s10.00
060night59:37 – 59:381.5s80.01
061outdoor1:00:24 – 1:00:240.8s50.17
062outdoor1:01:12 – 1:01:141.7s90.17
063outdoor1:01:35 – 1:01:350.2s20.15
064night1:02:42 – 1:02:496.7s330.00
065night1:04:02 – 1:04:020.0s10.00
066night1:04:34 – 1:04:350.4s30.35
067night1:05:49 – 1:06:2636.3s1750.09
068general1:06:47 – 1:06:491.2s70.40
069night1:07:40 – 1:07:498.8s430.10
070outdoor1:08:21 – 1:08:210.4s30.60
071outdoor1:09:02 – 1:09:020.0s10.10
072night1:09:50 – 1:09:554.4s220.10
073night1:10:32 – 1:10:330.6s40.14
074outdoor1:11:10 – 1:11:121.7s90.10
075outdoor1:12:32 – 1:12:320.4s30.05
076night1:13:08 – 1:13:102.7s140.04
077outdoor1:13:32 – 1:13:364.8s240.10
078outdoor1:15:20 – 1:15:210.4s30.10
079intimate1:16:08 – 1:16:080.0s10.10
080outdoor1:16:55 – 1:16:550.2s20.00
081outdoor1:17:30 – 1:17:310.8s50.00
082outdoor1:18:53 – 1:18:530.0s10.00
083outdoor1:19:46 – 1:19:5610.6s520.05
084day1:20:16 – 1:20:182.1s110.06
085day1:20:37 – 1:20:370.6s40.01
086outdoor1:21:22 – 1:21:230.8s50.11
087day1:21:43 – 1:21:474.2s210.10
088outdoor1:22:27 – 1:22:281.3s70.00
089night1:22:50 – 1:22:510.4s30.17
090outdoor1:23:08 – 1:23:178.6s420.01
091day1:23:36 – 1:23:371.2s70.00
092night1:24:11 – 1:24:142.7s140.05
093outdoor1:24:48 – 1:24:501.9s100.01
094day1:25:42 – 1:25:431.7s90.00
095intimate1:26:33 – 1:26:385.2s260.10
096night1:27:44 – 1:27:440.0s10.20
097day1:28:48 – 1:28:491.0s60.00
098night1:30:04 – 1:30:2218.1s880.00
099intimate1:31:16 – 1:31:160.2s20.15
100day1:32:01 – 1:32:075.4s270.11