Presently, many startups in the agriculture sector are adapting new and effective AI-enabled approaches to increase the efficiency of agricultural production and there many use cases under which the agriculture sector is benefited through AI. The major factors such as climate change, food security, advanced agricultural techniques, Checking and...
One of the biggest AI problems is lack of Quality Training Data and the only solution for quality training data is “Data Annotation”  Data annotation plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data annotation...
Image Annotation  Image Annotation is a task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. This is a very important task as this data helps generate datasets that help computer vision models work in a...
Sentiment & intent analysis  Under Sentiment analysis we inspect user input and identify the prevailing subjective opinion, especially to determine a user’s attitude as positive, negative, or neutral. When making a detect intent request, you can specify that sentiment analysis is performed, and the response will contain sentiment analysis...