Playment is a fully managed data labeling platform generating training data for computer vision models at scale. They empower companies in the Autonomous Vehicle, Drones, Mapping, and similar spaces with high precision annotation services - No matter how complex.
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]