A ground-truth dataset is a regular dataset, but with annotations added to it. Annotations can be boxes drawn over images, written text indicating samples, a new column of a spreadsheet, or anything else the machine learning algorithm should learn to output.
Quality Ground truth Dataset is paramount to the success of any AI model or project. Just imagine If you train a model with poor-quality data, then how can you get proper results? Quality annotated and Labeled Data + Machine Learning = Proper & accurate results.
The success of ML and AI models totally depend upon your A ground–truth dataset
To power Machine learning we use Advance Data labeling Techniques that improve the quality of training data in an interactive manner after human correction takes Less time and greater output. Nothing is more essential than quality data in Machine Learning.
ML and AI models totally rely upon Annotated DATA
To power Machine learning we use Advance Data Annotation Techniques that improve the quality of training data in an interactive manner after human correction takes Less time and greater output. Nothing is more essential than quality data in Machine Learning.
Annotating shapes in an image or entries in data so AI algorithms can make sense of it. We provide annotation services as our data annotation team is capable of drawing bounding boxes, cuboids, polygon, image classification/ tagging, text annotation, image masking annotation, data annotation & labeling, 2D & 3D annotation, Semantic segmentation, 3D LIDAR Annotation, autonomous vehicle, tagging of aerial view pictures, drone technology, contour annotation, etc.
Data Annotation Types
- Text annotation
- Image annotation
- Video annotation
Learning Spiral, Data labeling company provides Data annotation and Data labeling services and is now working on a wide variety of highly nuanced Computer Vision, NLP/NLU, Content, and digital publishing use cases. The majority of the work we perform is using human intervention by trained, in-house & dedicated professionals.
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