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Written by
Mothi Venkatesh
Product Marketer in the Playment team. He loves finding new ways to and implement programs that deliver transformational change.
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.
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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.
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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.
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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.
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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.
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Machine Learning

Bounding Boxes for Object Detection and Classification

2D Bounding Boxes is perhaps the most ubiquitous annotation type one might encouter in computer vision. As the name suggests, the annotator is asked to draw a box over the objects of interest based on the requirements of the client.
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Inside Playment

Improve Facial Recognition Using Semantic Segmentation and Landmark Annotation

Firms in the security and surveillance sector which build facial recognition models require high-quality landmark annotations across a variety of classes. Dot annotation (a.k.a Landmark annotation) and semantic segmentation is used to determine shape variations of objects.
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Machine Learning

What Is Human-In-The-Loop for Machine Learning

Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate and brilliant; together they are powerful beyond imagination hence the concept human-in-the-Loop.
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Data Security

What Does GDPR Really Mean for the Autonomous Vehicle Industry

On May 25, 2018, the general data protection regulations (GDPR)—Europe’s new data, privacy, and user consent regulations—take effect. Since we know that, autonomous vehicles are set to have a global impact on our relationship with mobility. At the same time, you will be generating a lot of personal data whilst driving,
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