Update README.md
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README.md
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The **FrodoBots 1K Dataset** is a diverse collection of camera footage, GPS, IMU, audio recordings & control data collected from close to 1,000 hours of tele-operated sidewalk robot driving in 10+ cities (during internal game testing).
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- If you're interested in testing out your AI models on your own FrodoBots, we encourage you to support our upcoming [**Kickstarter**](https://get.frodobots.com/)
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- If you're interested in testing out your AI models on our existing fleet of FrodoBots (in Singapore, London, Madrid, etc),
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- If you're interested in playing the game (ie. remotely driving a FrodoBot), you may [**sign up here**] (all you need is a game controller & browser).
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| *FrodoBots being tested in Stanford University campus* |
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> Special Shoutout: We want to express our sincere gratitude to the team at [**BlurIt**](https://blurit.io/en) for sponsoring our video redaction efforts (ie. blurring of faces & license plates).
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## Dataset Summary
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There are 7 types of data that are associated with a typical FrodoBots drive, as follows:
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6. **Microphone**: This includes audio recordings captured by the robot's microphone, with a sample rate of 48000Hz.
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7. **Speaker**: This incorporates audio recordings of the robot's speaker output, also with a sample rate of 48000Hz.
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[**FrodoBots**](https://www.frodobots.com/) is an open-world video driving game where gamers remotely control sidewalk robots to complete missions in different cities (here's a video about the [robot](https://youtu.be/WZy1u7ds1wQ)).
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| *Testing in Berlin* |
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## **Usage**
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For users not familiar with the structure of the data or those requiring assistance in manipulating and using it, please refer to the helpercode.ipynb file provided. This notebook contains Python code that helps understand and work with the dataset more effectively.
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The **FrodoBots 1K Dataset** is a diverse collection of camera footage, GPS, IMU, audio recordings & control data collected from close to 1,000 hours of tele-operated sidewalk robot driving in 10+ cities (during internal game testing).
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- If you're interested in testing out your AI models on your own FrodoBots, we encourage you to support our upcoming [**Kickstarter Campaign**](https://get.frodobots.com/) (from US$699 per unit).
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- If you're interested in testing out your AI models on our existing fleet of FrodoBots (in Singapore, London, Madrid, etc), feel free to contact Michael Cho to gain access to our SDK.
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- If you're interested in playing the game (ie. remotely driving a FrodoBot), you may [**sign up here**] (all you need is a game controller & browser).
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> We want to express our sincere gratitude to the team at **BlurIt** for sponsoring our video redaction efforts (ie. blurring of faces & license plates). If you need help with anonymizing your images or videos, feel free to check out their website: https://blurit.io/en
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| *FrodoBots being tested in Stanford University campus* |
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## Dataset Summary
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There are 7 types of data that are associated with a typical FrodoBots drive, as follows:
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6. **Microphone**: This includes audio recordings captured by the robot's microphone, with a sample rate of 48000Hz.
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7. **Speaker**: This incorporates audio recordings of the robot's speaker output (ie. gamer's microphone), also with a sample rate of 48000Hz.
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In total, there were more than 4,000 individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
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| *Histogram of Session Duration (minutes)* |
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These drives were done with FrodoBots in over 10 cities, registering close to 1,000 hours of footages, with Liuzhou being the city with longest cumulative hours of drives.
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| *Cumulative sessions hours by city* |
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Out of these 1,000 hours of recorded drive, roughly 312 hours have registered speed above 0 Km/Hr. Most of these other duration were either stationary or short pauses during a regular game drives.
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| *Distribution of robot speed (excluding zero speed)* |
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## About FrodoBots
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[**FrodoBots**](https://www.frodobots.com/) is an open-world video driving game where gamers remotely control sidewalk robots to complete missions in different cities (here's a video about the [robot](https://youtu.be/WZy1u7ds1wQ)).
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| *Testing in Berlin* |
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## **Usage**
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For users not familiar with the structure of the data or those requiring assistance in manipulating and using it, please refer to the helpercode.ipynb file provided. This notebook contains Python code that helps understand and work with the dataset more effectively.
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