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One Battle After Another

Duration
2h 42m
Detections
90,593
Night Scenes
58.2%
Object Types
72

-29% less darkness than the average Thriller film

MOST SAID  fucking · bob · man

2,577

unique people spotted (81% of frames)

304

unique chairs spotted (8% of frames)

566

unique cars spotted (9% of frames)

128

unique ties spotted (4% of frames)

138

unique potted plants spotted (3% of frames)

39

unique dining tables spotted (2% of frames)

41

unique couchs spotted (2% of frames)

48

unique cups spotted (2% of frames)

148

unique trucks spotted (2% of frames)

102

unique cell phones spotted (2% of frames)

Features 153 dog appearances

6,248

cars spotted (vehicle-heavy film)

13 named actorssad dominant emotion9.0% smile rate89% M / 10% F gender split
Leonardo DiCaprio · Bob17.0 min
Chase Infiniti · Willa11.3 min
Sean Penn · Col. Steven J. Lockjaw10.3 min
Teyana Taylor · Perfidia5.8 min

Darkness

?Average frame brightness sampled every 5th frame using YOLO. 0 = pitch black, 100 = fully lit. Frames below a luminance threshold are classified as 'dark'.

Balanced

45.7% dark

Action

?Blend of average and peak optical flow across all frames. Measures how much the camera and subjects are moving — not just cuts.

Moderate

Intensity: 3.8

Social

?Average number of people detected per frame by YOLOv8 object detection. Reflects crowd density and how often characters share the frame.

Intimate

1.34 people/min

Setting

?Indoor vs outdoor ratio, classified per frame from visual cues (walls, ceilings, sky, horizon lines) by the object detection model.

Balanced

54.8% of scenes indoors

Visual

?Number of distinct object classes detected across all frames (e.g. cars, phones, weapons, animals). Higher = more varied visual vocabulary.

High

72 object types

Pacing

?Cuts per minute derived from scene segmentation. Each scene boundary is detected by a sharp change in visual features between consecutive frames.

Steady

0.6 cuts/min

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Average Thriller film — based on 3 titles

Darkness-29% below avg
58 this film82 genre avg
Action-8% below avg
38 this film42 genre avg
Dialogue-2% below avg
30 this film31 genre avg
People-5% below avg
40 this film42 genre avg
warm · muted

Dominant colors sampled across 7,787 frames

#5d3c1b23.8%
#696d5e18.1%
#b6b79316.2%
#35494a14.7%
#9e885f13.9%
#e4e0bd13.3%
#c4caa7
#e9e5c9
#b3ab84
#81816d
#55503e
#43463d
#72705f
#a49f81
#cecca9
#eee8ca
#5c3a14
#555647
#8f7b4f
#b4ae86
#dfdcb5
#563517
#27434d
#606960
#a3773b
#d1cea8
#5b3d1e
#877d5f
#3f5251
#b5b48f
#e4dfbd

Act 1 (0-25%)

Scene 1 of 4

outdoor
61%
night
24%
empty
10%
general
3%

Act 2a (25-50%)

Scene 2 of 4

outdoor
56%
night
30%
empty
9%
day
3%

Act 2b (50-75%)

Scene 3 of 4

outdoor
62%
night
23%
empty
8%
general
4%

Act 3 (75-100%)

Scene 4 of 4

outdoor
51%
empty
21%
night
17%
day
9%

Most Intense Minute

The busiest 60 seconds in the film by continuous motion activity

50:57

timestamp

68

motion score (0–100)

Calmest Sequences

Best times for a popcorn break

96:37150:1153m 34s calm
1:3717:5716m 20s calm
59:1768:589m 41s calm

Dialogue vs Silence

Dialogue · 36%
Silence · 64%
Total Words
11,183
Words / Min
69
Unique Words
2,663
Vocab Richness
23.8%

Dialogue by Act

Act 1
2,320 words166 WPM
Act 2a
4,208 words213 WPMpeak
Act 2b
3,137 words191 WPM
Act 3
1,583 words180 WPM

Most Spoken Words

fucking
60
bob
44
man
42
sir
39
phone
31
thank
28
fuck
27
good
24
time
23
name
22
shit
20
little
20

Profanity Counter

169instances
Moderate

1 every 58s

fucking
60
fuck
27
shit
21
goddamn
8
pussy
6
prick
6
damn
5
motherfucker
5
bitch
4
dick
4
hell
4
asshole
3
fucked
3
fucker
3
ass
2
motherfucking
1
bullshit
1
dickhead
1
dammit
1
moron
1
idiot
1
retard
1
motherfuckers
1

Audio Profile

Audio Level
Moderate
relative loudness of the film's audio mix
Fastest Dialogue
292 WPM
peak burst (typical speech: 130–150 WPM)

Longest Silence Moments

2:12:592:21:458m 45s
22:5126:323m 41s
2:33:352:37:083m 33s
2:39:322:42:222m 49s
2:10:022:12:492m 47s

Motion, Brightness & People Arc

All values on a 0–100 scale. Brightness = scene lighting level. Motion = camera and subject activity. People = relative screen presence (normalized to peak).

View Characters →

Bars show % of frames the object appeared in. Hover for total detection count and unique tracked instances.

Person detected in 81% of frames1.3 avg per frame. Shown separately; excluded from the chart below.

Top Detected Objects

Scene Duration

Dark5.2s avg · 32 scenes
Outdoor4.3s avg · 48 scenes
Empty0.6s avg · 1 scenes
Bright0.3s avg · 3 scenes
Intimate0.3s avg · 3 scenes
General0.2s avg · 13 scenes

Each bar shows the % of frames where that characteristic was detected. A frame can have multiple labels — brightness (Dark/Bright), setting (Indoor/Outdoor), people (Empty/Crowd), and motion (Action/Chase). Percentages do not add up to 100%.

Scene Distribution

Films with the closest visual and audio fingerprint — ranked by cosine similarity across 8 cinematic dimensions.