- Agriculture
- Bounding Box
- Polygon
- Smart Logistic
- Semantic Segmentation
Use Cases
- Agriculture
With the advancement in technology, many ideas like perception models are developed to address the challenges of agricultural fields. These models, however, have enabled smarter assistance to the farmers resulting in increased field productivity. Our data annotation and data labeling experts have processed training data for models used in weed detection systems using various annotation techniques.
- Bounding Box
In Image Annotation, It is the technique of drawing perfect 2D boxes around the objects in a given frame. Bounding boxes for object detection, classification, and localization in images and videos. Bounding box annotation is basically used to train algorithms to detect the various objects on the streets like lanes, traffic, potholes, signals, and other objects.
- Polygon
Data is labeled using a perfectly enclosed contours. The technique is used in processing training data for models used in very precise applications. These labels assist the machine to get a clear idea on the structure of the object.
- Semantic Segmentation
Images are segmented semantically at its pixel level. Datasets processed employing this technique can provide the models, a sounder understanding of what the data holds. Standard segmentation and instance segmentation are the two types of semantic segmentation used in computer vision training.
- Smart Logistic
Logistic is one of the areas where artificial intelligence is currently leveraging. Warehouse applications like package handling, delivery and transportation can be a tiresome task when handled manually. However, computer vision has automated these activities reducing its workload. We have annotated barcodes and boxes.
ABOUT THE ORGANIZATION
We offer Data annotation & Data Labeling services including Image annotation for machine learning and AI-based computer vision object recognition in various industries for accurate results. Our ISO 27000 certified facilities are equipped to handle the most secure data, and our training data expertise helps reduce ramp time and increase quality.