Software Alternatives, Accelerators & Startups

AWS DeepRacer VS Scootbee

Compare AWS DeepRacer VS Scootbee and see what are their differences

AWS DeepRacer logo AWS DeepRacer

A 1/18th scale race car to learn machine learning 🚗

Scootbee logo Scootbee

Self-driving, dockless scooters from Singapore
  • AWS DeepRacer Landing page
    Landing page //
    2023-03-19
  • Scootbee Landing page
    Landing page //
    2021-09-29

AWS DeepRacer features and specs

  • Hands-on Learning
    AWS DeepRacer provides an interactive and engaging way to learn reinforcement learning, allowing users to develop, train, and test their own machine learning models in a fun and practical manner.
  • Community and Competition
    It offers a community-driven competition platform, enabling users to participate in global races and learn from others, which fosters collaboration and knowledge sharing.
  • AWS Integration
    DeepRacer is well-integrated with other AWS services, providing seamless access to tools for machine learning such as Amazon SageMaker, making it easier for developers to leverage AWS's robust infrastructure.
  • Skill Development
    Participants can gain practical experience with AI and machine learning frameworks, enhancing their skills in model development, training, and hyperparameter optimization.

Possible disadvantages of AWS DeepRacer

  • Steep Learning Curve
    New users may find the concept of reinforcement learning complex and challenging to understand, which can inhibit initial adoption and progress.
  • Cost
    Although AWS DeepRacer offers a free tier, scaling up to more advanced features, training models, or prolonged usage can incur significant costs, which might be a barrier for some individuals or organizations.
  • Hardware Dependency
    To fully experience AWS DeepRacer, such as engaging in physical races, users may need to purchase the actual DeepRacer car, which could be an additional expense.
  • Limited Scope
    AWS DeepRacer focuses primarily on autonomous racing and reinforcement learning, offering limited exposure to other machine learning techniques and applications beyond this niche.

Scootbee features and specs

  • Convenience
    Scootbee provides easy access to scooters in urban areas, allowing users to quickly and conveniently navigate through city traffic without the hassle of parking.
  • Eco-friendly
    Scootbee's electric scooters help reduce carbon emissions by providing a sustainable alternative to traditional gas-powered transportation.
  • Cost-effective
    Using Scootbee can be more economical than owning a car or using rideshare services for short distances, especially due to its pay-per-use pricing model.

Possible disadvantages of Scootbee

  • Limited Area Coverage
    Scootbee services might be limited to certain urban areas, restricting access for those living in suburbs or rural locations.
  • Weather Dependency
    Scooter usage can be heavily impacted by adverse weather conditions, making them less viable during rain or snow.
  • Safety Concerns
    Users may face safety issues, such as accidents or falls, especially in cities with heavy traffic and inadequate bike lanes or infrastructure.

AWS DeepRacer videos

Hands-On with AWS DeepRacer Evo Autonomous Race Car!

More videos:

  • Review - Tested at the AWS DeepRacer Championship Cup!
  • Review - AWS re:Invent 2018 – Announcing AWS DeepRacer (Demo)

Scootbee videos

Scootbee (World's First Self-Distribution E-Scooter) at Sunway Iskandar

More videos:

  • Review - Scootbee vs E-scooter on upward slope
  • Review - Scootbee trials under progress (2)

Category Popularity

0-100% (relative to AWS DeepRacer and Scootbee)
Open Source
53 53%
47% 47
Transportation
45 45%
55% 55
Ride Sharing
49 49%
51% 51
Uber
49 49%
51% 51

User comments

Share your experience with using AWS DeepRacer and Scootbee. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, AWS DeepRacer seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS DeepRacer mentions (19)

  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / over 1 year ago
  • RL for robotics
    I haven't used it, but I've heard good things about AWS' DeepRacer. It's supposed to be an all-in-one place to start for this kind of work. Source: over 1 year ago
  • Scaling ML Education With AWS DeepRacer
    AWS DeepRacer is a service offered by Amazon Web Services (AWS) that combines machine learning, cloud computing, and robotics to provide a platform for learning and experimenting with reinforcement learning. - Source: dev.to / almost 2 years ago
  • Donkeycar: A Python self driving library
    Some other toy-scale self-driving car projects which come with simulators in case someone cannot get the hardware: 1. Duckietown: https://www.duckietown.org/ from ETH Zurich, comes with a MOOC with all material. 2. MuSHR: https://mushr.io/ from Sid Srinivasa’s group at UW. 3. F1TENTH: https://f1tenth.org/ probably the most popular, regularly heads physical competitions, sometimes at popular robotics conferences.... - Source: Hacker News / about 2 years ago
  • My experience starting out with Deepracer (Q4/22)
    I don't think I'll spend too much time writing about the history of deepracer, or what it is. You can read up on it on AWS website https://aws.amazon.com/deepracer/. - Source: dev.to / over 2 years ago
View more

Scootbee mentions (0)

We have not tracked any mentions of Scootbee yet. Tracking of Scootbee recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS DeepRacer and Scootbee, you can also consider the following products

Comma.ai - Open source self-driving car platform

Scale Self-Driving Training API - API for training data to power self-driving models

Cruise - Holy shit. Self-driving cars.

Voyage - "Now deploying self-driving taxis in California"

EDIT Self-Driving Car - The world's first open & modular self-driving car

SelfDriving.fyi - SelfDriving.fyi is the most comprehensive database of companies working on autonomous vehicles and related technologies, with over 150 companies.