Along with manufacturing and export, Agro-Ind also provides Annotation service, Data Management and AI solution. Our story starts with consulting and stepped into AI technology domain. We stepped our foot in creating prototype for autonomous harvester and annotation service. We are powered by a dynamic research community and crowd source community for annotation service. With our highly-qualified team of experts, we support numerous annotation activities by providing manual annotators as workforce and provide service to the annotation activities. Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher level features from the raw input. Agro-Ind is highly effective in extracting raw input and annotate raw input data with high accuracy and efficiency for AI application.
Pixel-wise annotation service for all kinds and different formats of images that makes easier for computer vision technique to identify the variety objects just like humans.
Bounding boxes is one of the most popular and recognisable image annotation method used in machine learning and deep learning. Bounding boxes are very useful in object classification in images and localise them for computer vision.
semantic segmentation is one of the high-level task that paves the way towards complete scene understanding. Semantic segmentation achieves fine-grained inference by making dense predictions inferring labels for every pixel, so that each pixel is labelled with the class of its enclosing object or region.
Train your computer vision models with superior, pixel accurate image recognition.
Key point detection involves simultaneously detecting people and localizing their key points. Key points are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the image. They are invariant to image rotation, shrinkage, transl
These classes could be pedestrian, car, bus, road, sidewalk, etc., and each pixel carry a semantic meaning. This type of annotation is created by using lines and splines.
Point cloud analysis has found its application in indoor scene understanding and more recently has become an essential component of outdoor applications. This is due to the increasing availability and affordability of 3D sensors such as LiDAR. Visualising the point cloud data in 3D viewer and labelled for more precise detection and classification for right dimensions and tracking label at high accuracy.
A 3D boxes for better object detection and tracking including the every points with high accuracy to get the details like size, location, yaw, speed, pitch with class. We use highly advanced 3D point cloud annotation tool to annotate all kind of objects and assign particular classification with extra attributes.
Semantic segmentation of 3D point cloud data where each point is assigned with a semantic class, has recently gained tremendous attention from data mining researchers and industrial practitioners. Accurate 3D-segmentation results can be used for constructing 3D scene for robotic navigation, autonomous driving and s
Providing data annotators as workforce is one of the renowned service. We are engaged in providing reliable data annotators to the organizations. Our experience in this field has enabled us to provide suitable candidates to the companies in different industries. We provide highly skilled data annotators.
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