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Autonomous Driving

Top 12 Popular Autonomous Driving Datasets That Can Get You Started Immediately

The automotive industry has rapidly accelerated its research in the last few years, and here’s our curated list of the most popular autonomous driving datasets you must explore.
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Inside Playment

Meet GT Studio — Playment’s powerful, web-based data labeling platform for ML teams.

With our self-serve data labeling platform, GT Studio, ML teams can now leverage sophisticated labeling tools, project management software, analytics-driven labeling frameworks, and much more on a single interface.
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Inside Playment

2020 In Review: Looking Back at Playment’s Journey and Looking Ahead into 2021...

As much as we’re excited for 2021, it’s always a good idea to first reflect on our journey, setbacks, small wins, and lessons. Here’s Playment’s version of 2020 wrapped.
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AI Alerts

Open Datasets To Build AI Applications To Fight COVID-19

Solving a global health crisis with AI technology? Here’s a list of freely accessible datasets for your COVID-19 initiatives.
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Machine Learning

Automation: The Antidote to Overcoming Labeling Inefficiencies

Machine learning innovations in data labeling; a glimpse at how Playment is using ML-assisted annotation tools to speed up the labeling process and boost label accuracies.
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Computer Vision

Decision Framework For Data Labeling Strategy

Busting common misbeliefs about data labeling workflows and budgets to provide a realistic decision framework that will take your data labeling strategy from flawed to flawless.
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Inside Playment

Playment’s Sensor-Fusion Data Labeling Tools For Better CV/ML Models

Build better context-aware perception models by combining data from multiple sensors with Playment’s sensor-fusion tools.
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Autonomous Driving

A Primer on LiDAR for Autonomous Vehicles

Playment builds products that help perception engineers build huge amount of highly accurate datasets to train their models.
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Computer Vision

A Definitive Guide To Building Training Data for Computer Vision

I have briefly written about the ways you can start gathering training data. This depends majorly on the use case you plan to work on.
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Computer Vision

Comparing Image Annotation Types by Computer Vision Use Cases

The most important thing that the computer vision expert does is to decide which image annotation type is needed to build the most accurate model(s) for object detection.
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