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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. As a result, we’re seeing a huge surge in the demand for data to train the deep learning systems built around these sensors. To this end, we built […]

The post Playment partners with Ouster to simplify LiDAR data annotations appeared first on Playment Blogs.

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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. To this extent, we decided to leverage the existing interactive segmentation methods to retrieve apriori map so that […]

The post Introducing AI assisted Semantic Segmentation labeling appeared first on Playment Blogs.

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This article would succinctly describe the best ten datasets used for certain fundamental computer vision problems such as classification, detection and segmentation. Considering traditional computer vision approaches and also to encourage audience who are resource constrained and to seed an idea of getting started with computer vision, this article is planned and crafted in such […]

The post Top 10 Open Image Datasets for Machine Learning Research appeared first on Playment Blog.

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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. However, identifying the objects that occupy less than 1% of the […]

The post Small Object Detection: Traffic light & Face detection using Deep learing appeared first on Playment Blog.

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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. Apart from object classification and localization models that could be trained using bounding boxes, they could […]

The post Bounding Boxes for Object Detection & Classification appeared first on Playment Blog.

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In recent years, machine learning technology centered on deep learning (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. Initial applications of computer vision required […]

The post Semantic Segmentation: Wiki, Applications and Resources appeared first on Playment Blog.

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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. These deep learning models are mainly used in the field of Computer Vision which allows […]

The post What is deep learning? A beginner’s guide appeared first on Playment Blog.

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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 […]

The post Semantic Segmentation labeling for Autonomous Vehicles appeared first on Playment Blog.

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Landmark Annotation to recognize Facial attributes 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) is used to determine shape variations of objects. Complex Cases we have successfully handled Object occlusions Bad clarity of images which leads to improper […]

The post Improve Facial Recognition using Semantic Segmentation & Landmark Annotation appeared first on Playment Blog.

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There are many challenges in building AI that works in the real-world scenarios. One of those is the quality of the training data that is needed to train your model. Being in the AV industry, in order to stay at the top, machine learning models need to be trained on representative datasets that include all […]

The post Framework to Evaluate a Data Labeling partner for Machine Learning appeared first on Playment Blog.

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