Welcome to our Blog!

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.
Continue Reading
Computer Vision

Application of Machine Learning in Data Labeling

ML-assisted annotation tools speed up the data labeling processes and positively impact labeling accuracies.
Continue Reading
Inside Playment

What I Love About Working at Playment?

I started working with Playment back in January 2017 with a vision to create a fantastic customer-centric organization. However, working for an early-stage startup is stressful; not only did I have to learn about complex product and features; I had to learn them while they were changing. Very often, the product that my team worked with looked entirely different weeks later.
Continue Reading
Autonomous Driving

Playment Partners With Ouster to Simplify Lidar Data Annotations

Today, almost all autonomous vehicle companies targeting level-5 autonomy use a setup involving LiDARs calibrated together with cameras working in sync to perceive the world around them.
Continue Reading
Inside Playment

Introducing AI-Assisted Semantic Segmentation Labeling

The Playment survey on task difficulty suggests that Semantic segmentation is one of the difficult tasks for our annotators. This inspired us to automate the ground-truth annotation to reduce the workforce efforts and efficiently handle our resources.
Continue Reading
Machine Learning

Top 10 Open Image Datasets for Machine Learning Research

This article would succinctly describe the best ten image datasets used for certain fundamental computer vision problems such as classification, detection and segmentation.
Continue Reading
Machine Learning

Small-Object Detection: Traffic Light and Face Detection Using Deep Learning

Object detection has been one of the fundamental problems that computer vision is trying to solve. Deep learning approaches on datasets such as PASCAL VOC, MS COCO based on R-CNN, Fast R-CNN, YOLO and several other approaches have been the state-of-the-art in object detection.
Continue Reading
Machine Learning

Semantic Segmentation: Wiki, Applications, and Resources

In recent years, machine learning technology centered on deep learning has attracted attention. Self driving cars have inculcated deep learning processes that requires the algorithm to identify and learn from the images fed as raw data. Let’s look at how the need for semantic segmentation has evolved.
Continue Reading
Machine Learning

A Beginners Guide: What Is Deep learning/Deep Neural Network?

Deep learning is a type of machine learning that mimics the neuron of the neural networks present in the human brain. Computer Vision Deep learning models are trained on a set of images a.k.a training data, to solve a task.
Continue Reading
Inside Playment

Semantic Segmentation Labeling for Autonomous Vehicles

The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image. Unlike polygonal segmentation devised specifically to detect a defined object of interest, full semantic segmentation provides a complete understanding of every pixel of the scene in the image. This kind of for detection and localization of specific objects in pixel-level.
Continue Reading