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Introduction of Agri-Tech has
become a boon. But processing data for validating these models can be quite a task. We can
help you process precise training data for these perception models using various annotation techniques. For over 1 year our team of around 60 annotators have worked for a particular company* in their crop detection and traceability projects.
(*Disclosure of client details are strictly limited due to sitting NDA’s.)
We label agricultural products, elements and equipment to produce training data for computer vision models in sustainable agricultural solutions. We label images using various annotation techniques.
Perception models can ease the task of crop detection. We differentiate crops and weeds and label using bounding boxes to process quality training data.
We analyse crops, fruits and vegetables and label it based on its stage of growth. Training data thus processed are used to enable tracing modules in Agri-Tech used for continuous field analysis.
Real-time monitoring of plant health is now an easy task with computer vision. We process training data for these models by analysing plants and annotating its sound or affected part using various annotation techniques.
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