Film Profile · FAST-FIVE
Fast Five
Detections95,040
Night Frames52%
Dialogue WPM54
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-79% vs genre
14.1/100
Very Bright
Action Intensity-89% vs genre
5.3/100
Moderate
People Density-97% vs genre
1.7/100
Intimate
Indoor / Outdoor
20% indoor
Outdoor · 20.2% indoors
Object Diversity
108/100
High
Pacing
0.8 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
Fast FiveAction avg · 19 titles
THE ARC
Motion & brightness across the runtime
Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.
Motion Intensity
Brightness
People
STRUCTURE
Scene mix by act
Three-act split — how the visual tone shifts from setup through climax.
PEAKS & VALLEYS
When the film pushes — and breathes
The single most-intense minute and longest stretch of stillness.
CHROMA
Color signature
Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.
Temperaturewarm
Saturationmuted
Frames sampled6,251
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#4F3528
25.6%
#6D5A4C
22.6%
#8E806D
18.3%
#B0A893
14.1%
#D4D0C0
10.2%
#254655
9.2%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#ACA691
#C3C6B7
#E2E0D3
#917B61
#5B4131
Empty scenes
#9F9079
#786452
#513C2F
#C9C3AF
#294B5A
Night scenes
#4F3427
#715F53
#1D4256
#9E9080
#D2CDC1
Outdoor scenes
#7E6958
#4F3426
#A29884
#414C4E
#CECBBA
Romantic scenes
#45413A
#715E4F
#8A8070
#ABA994
#C5C9BB
Vibrant scenes
#723E28
#925F3A
#0E4673
#266C84
#C6984B
DETECTIONS
What appears on screen most
The four most-present objects — full breakdown with categories in Deep Dive.
ON SCREEN
Cast at a glance
Top 3 actors by screen time, color-coded by dominant emotion.
VD
Vin Diesel
Dominic Toretto
18.2m · angry
PW
Paul Walker
Brian O'Conner
14.8m · angry
DJ
Dwayne Johnson
Luke Hobbs
8.2m · angry
AI-DISCOVERED FACTS
AI-Discovered Facts — Fast Five (2011)
Insights surfaced by machine analysis of every frame, audio track, and object.
- Fast Five boasts a staggering 22 vehicles, outpacing 15 out of 18 Action films in this department, where the average movie barely reaches 11 vehicles per 100 minutes.
- 5,279 unique people spotted (75% of frames)
- "man" is said 45 times — once every 2.9 minutes.
- The longest stretch of silence runs 12 min 58 sec — no dialogue at all.
- 46 profanity instances across the runtime — roughly one every 171 seconds.
- Only 5.6% of all detected faces are smiling across the entire film.
- At 134 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 1,994 unique words spoken out of 7,018 total — a vocabulary richness of 28.4%.
- AI detected 108 unique object types across 95,040 frame-by-frame detections.
- 1,809 unique cars spotted (17% of frames)
- 319 unique chairs spotted (4% of frames)
- Police cars appear in 5% of frames
- 360 unique trucks spotted (4% of frames)
- 163 unique bottles spotted (2% of frames)
- 133 unique ties spotted (2% of frames)
- Posters appear in 2% of frames
- 121 unique laptops spotted (2% of frames)
- 102 unique tvs spotted (1% of frames)
- 11,959 cars spotted (vehicle-heavy film)
- 135 weapon appearances (1 per minute)
- Smoke or haze detected in 229 frames
- Shot predominantly with warm tones
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
35% dialogue65% silence / score
7,018
total words
54
words / min
46 · 0.7%
profanity flagged
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