Film Profile · THE-FAST-AND-THE-FURIOUS-TOKYO-DRIFT
The Fast And The Furious Tokyo Drift
Detections89,899
Night Frames48%
Dialogue WPM31
Dom. Emotionneutral
GENOME
Movie DNA
Six core dimensions, each scored against the genre baseline.
Darkness-72% vs genre
19/100
Very Bright
Action Intensity-89% vs genre
5.7/100
Moderate
People Density-96% vs genre
2.2/100
Social
Indoor / Outdoor
18% indoor
Outdoor · 17.8% indoors
Object Diversity
99/100
High
Pacing
1.0 cuts/min
Dynamic · cuts/min
FINGERPRINT
The full shape, vs. genre
Six axes overlaid against the average for this film's primary genre.
The Fast And The Furious Tokyo DriftAction 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.
Temperatureneutral
Saturationmuted
Frames sampled4,999
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#2B454E
26.9%
#676F74
19.9%
#522E1C
16.0%
#979596
15.2%
#7A543D
13.2%
#C4C7C8
8.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Action scenes
#404B52
#B3B3B9
#737B81
#5C2D20
#986F5E
Empty scenes
#3F3A3C
#655B59
#857C7C
#A59C9B
#C3C3C6
Night scenes
#505353
#18424C
#5C3418
#7D7D79
#BABEBF
Outdoor scenes
#54595C
#848180
#5E3621
#204049
#B9BCBE
Romantic scenes
#493733
#5E5A5C
#7F8284
#A1ABAD
#C3D1D1
Vibrant scenes
#237078
#772F0D
#7E4B33
#A0770D
#B17C4D
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.
LB
Lucas Black
Sean Boswell
31.3m · angry
BT
Brian Tee
D.K.
8.4m · angry
SK
Sung Kang
Han Lue
6.9m · neutral
AI-DISCOVERED FACTS
AI-Discovered Facts — The Fast And The Furious Tokyo Drift (2011)
Insights surfaced by machine analysis of every frame, audio track, and object.
- The Fast and the Furious: Tokyo Drift crushes its action film peers with a staggering 65 people on screen, outscoring 18 out of 18 others and shattering the genre average by 15.
- 5,921 unique people spotted (77% of frames)
- "man" is said 17 times — once every 6.1 minutes.
- Lucas Black is on screen for 31 of 104 minutes — 30% of the runtime.
- The longest stretch of silence runs 7 min 15 sec — no dialogue at all.
- Only 9.2% 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.
- 1,112 unique words spoken out of 3,232 total — a vocabulary richness of 34.4%.
- AI detected 99 unique object types across 89,899 frame-by-frame detections.
- 1,691 unique cars spotted (21% of frames)
- Police cars appear in 6% of frames
- 253 unique chairs spotted (4% of frames)
- 196 unique ties spotted (4% of frames)
- Posters appear in 3% of frames
- 116 unique bottles spotted (2% of frames)
- Sports cars appear in 2% of frames
- 178 unique trucks spotted (2% of frames)
- 55 unique tvs spotted (1% of frames)
- 10,343 cars spotted (vehicle-heavy film)
DIALOGUE
Words across the runtime
Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.
40% dialogue60% silence / score
3,232
total words
31
words / min
9 · 0.3%
profanity flagged
SIMILAR FILMS
You might also like
Films closest to this one across darkness, action, dialogue, and visual style.
