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Steering corrections between Mercedes drivers in Baku using computer vision 🤖 on Lap 27 ✨ ⚫️ Lewis is correcting through the corner (below: left-right correction: purple and yellow) 🔵 George is f
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Computer Vision Proof Of Concept | A PIT STOP ANALYTICS model incorporating TIME is Born 🤖⏳ We took the 2021 Monaco GP pit stop with Valterri Bottas as a use case to highlight a simple example where
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Had a lot of fun building a computer vision system for real-time object detection & tracking in motorsport. Imagine an AI-powered tool that can analyze and optimize racing lines, compare strategies a
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Rain is in the air in Miami but let’s not forget a key strategic consideration for the race: The bollard #F1 #miami
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Miami SPRINT RACE—Race Pace McLaren are the clear standouts in Miami 🚀 McLaren: 🥇 Ferrari: +0.239s (LEC) Mercedes: +0.347s (ANT) Redbull: +0.518s (VER) #f1
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ITS RACE WEEK in MIAMI 🏝️🦩 Throwback to the anatomy of the one of the fastest pitstops made by Ferrari in the 305⏱️ using SAM3D vision models Analysis adapted from Getty Images #f1 #ferrari #ai
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Best Sector Times: Qualifying Sector 1: FERRARI 🔴 Sector 2: MERCEDES ⚫️ Sector 3: MERCEDES ⚫️ #f1 #japan
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KIMI ANTONELLI👏🏾 Found time in each each quali session, putting in blistering sector 2 and 3 times—both over 0.150s faster than his teammate Mercedes line up 1-2 on the front row—can they hold the
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🟪Audi has found the MOST laptime going into FP3 🚀(-0.858s) followed by Mercedes -0.792s) 🟨Both McLaren and Williams have lost lap time. Haas within one hundredth of its FP2 laptimes Qualifying up
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An epic 🐎 Ferrari battle worthy of its own visualization Sublime driving by 🔴Charles Leclerc and Lewis Hamilton 🟡 in China ——— Data represent the position per lap during the race for each driver
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The sprint race in China revealed two things: Mercedes ⚫️ (ANT) is kind on its tyres, even while pushing compared with Ferrari 🔴 (HAM) The hards ⚪️ are CRITICAL tyre for the race on Sunday as well
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it’s RACE WEEK for IndyCar! And we couldn’t be more proud to announce the newest member of the CodeF(x) team— @nishilpat26 as well as an expansion of our coverage to the series Arizona recap ⏮️ tech
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About @code__fx

CodeF(x) is a Instagram nano influencer. With 9K followers and 12 posts, code__fx's account shows a follower-to-following ratio of 14.7:1. View all content anonymously on Pictame - no login required.

code__fx's engagement rate sits at 1.54%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 25% are videos and 75% are photos. Notably, videos tend to get 2.6x more engagement than photos. Content shows up about every 54 days. Captions lean moderate, averaging 457 characters.

1.54% engagement rate — room to grow compared to average for 1K-10K follower accounts.
25% videos, 75% photos. Videos get 2.6x more engagement here.
Posts about every 54 days.
14.7:1 follower-to-following ratio.

FAQs About @code__fx

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@code__fx

CodeF(x)

Public
Posts
12
Followers
9K
Top Hashtags
#f1#F1#ai#codef1#ferrari#japan#AzerbaijanGP#computervision

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Following
609
Avg. Likes
134
Avg. Comments
4
Engagement
1.54%

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