What’s the Latest with Lidar and Point Cloud Annotation?
What is LiDAR and why is it such a hot topic? What are some of the key challenges around point cloud annotation? Find out in this post.
Blog
Takeaways from AutoAI Conference 2018
Last week, Sama visited the Auto.AI event, which bills itself as the platform bringing together the stakeholders who play an active role in the deep driving, computer vision, and sensor fusion.
The Advantages and Limitations of Synthetic Data
With increased buzz around synthetic data, it is important to understand the advantages and limitations of this solution, and the overall affect on the application.
What is Synthetic Data?
Synthetic data is system-generated data that mimics real data in terms of essential parameters set by the user.
What is Training Data?
The best way for a computer to gain knowledge is to start by showing it exactly what it is you want it to do. For this, we use training data.
Better Algorithms, Better Lives: Reducing Poverty Through Training Data
We spotlight one of our clients, Markable, to show how our image annotation work can be used in ML to train image recognition algorithms.
How Sama Moves People Out of Poverty with Digital Work
Sama’s mission is to connect low-income people to digital work. This post explains the specifics of how this is done.
3 Computer Vision Applications You Haven’t Heard Of…Yet
While certain applications of ML are prevalent in the media, there are lesser-known applications that are similarly revolutionary
Winning Customers with Algorithms: How Teams in Nairobi Help Shape Your Shopping Experience
Termed “planogramming,” visual merchandising is key in retail stores. The best stores find a balance between exciting customers without overwhelming them with deals shouting from every corner.
Davos: It’s Not Enough to Do Less Bad (5 Tech and Impact Trends)
Here are five key tech and social impact trends from the 2016 World Economic Forum, starting with: It’s Not Enough to Do Less Bad.
