Film Profile · 2-FAST-2-FURIOUS
2 Fast 2 Furious
Detections105,654
Night Frames35%
Dialogue WPM65
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-99% vs genre
0.9/100
Very Bright
Action Intensity-88% vs genre
6/100
Moderate
People Density-96% vs genre
2.1/100
Social
Indoor / Outdoor
20% indoor
Outdoor · 19.6% indoors
Object Diversity
106/100
High
Pacing
0.9 cuts/min
Highly Variable · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
2 Fast 2 FuriousAction 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 sampled5,160
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#5B473F
25.4%
#462825
22.8%
#8F7A71
15.2%
#A7A1AE
14.2%
#5E5D6E
13.8%
#D7D9E3
8.6%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#B0A3A5
#C9C3CE
#927F71
#E0E3F0
#604A3F
Empty scenes
#908382
#6D6058
#4C3E34
#B0A7AD
#DCDFE6
Night scenes
#4C261E
#5B4E4C
#33324F
#767187
#C5C1CA
Outdoor scenes
#463D3E
#70605A
#968D93
#542017
#CCCED9
Romantic scenes
#5E433F
#736460
#472B24
#958C93
#C9D6E6
Vibrant scenes
#73482C
#9B1317
#B07F44
#2D3180
#4E64C3
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.
PW
Paul Walker
Brian O'Conner
28.7m · angry
TG
Tyrese Gibson
Roman Pearce
22.2m · angry
CH
Cole Hauser
Carter Verone
7.4m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — 2 Fast 2 Furious (2003)
Insights surfaced by machine analysis of every frame, audio track, and object.
- 2 Fast 2 Furious outpaces all Action films with a stunning 60 out of 100, 8 points above the genre average.
- 4,884 unique people spotted (76% of frames)
- "man" is said 97 times — once every 1.1 minutes.
- Paul Walker is on screen for 29 of 108 minutes — 27% of the runtime.
- The longest stretch of silence runs 4 min 43 sec — no dialogue at all.
- 64 profanity instances across the runtime — roughly one every 102 seconds.
- Only 8.0% of all detected faces are smiling across the entire film.
- The 5 most intense moments all happen within 4 seconds of each other.
- At 144 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
- 1,705 unique words spoken out of 7,000 total — a vocabulary richness of 24.4%.
- AI detected 106 unique object types across 105,654 frame-by-frame detections.
- 2,808 unique cars spotted (30% of frames)
- 458 unique chairs spotted (7% of frames)
- Police cars appear in 8% of frames
- 463 unique trucks spotted (5% of frames)
- 116 unique cups spotted (2% of frames)
- 91 unique potted plants spotted (2% of frames)
- Sports cars appear in 1% of frames
- Posters appear in 2% of frames
- 59 unique wine glasses spotted (1% of frames)
- Features 2,740 high-action sequences (9% of the film)
- 18,898 cars spotted (vehicle-heavy film)
- 188 weapon appearances (2 per minute)
- 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.
46% dialogue54% silence / score
7,000
total words
65
words / min
64 · 0.9%
profanity flagged
SIMILAR FILMS
You might also like
Films closest to this one across darkness, action, dialogue, and visual style.
