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DATA AUGMENTATION TOOLS

FInding quality data in large numbers often prove to be very challenging for deep learning team. At these times augmentation techniques come into play. Essentially building new data from the data you have already gathered to enlarge the data and halp you with data gathering

Weather augmentations

Helping you with weather effects like rain, fog, sunshine, snow

visual augmentations

Color, hue, saturation, contrast and many more augmentations

Topology Augmentations

Rotating or flipping images and subjects

Vast augmentation options

You can select from a vast list of augmentation options to help you with your data needs.
From weather augmentations to image parameter alterations and new techniques like mosaic augmentation. You can find them all here

You don’t need to wait for different times of year or day for proper images. Add rain, snow, sunshine or fog effects to weather proof your dataset.

Use at the edge

Use AI and machine learning at the edgeUse AI and machine learning at the edge

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Augmentation

FInding quality data in large numbers often prove to be very challenging for deep learning team. At these times augmentation techniques come into play. Essentially building new data from the data you have already gathered to enlarge the data and halp you with data gathering. These augmentations try to mimic different scenarios that could happen in real life to improve your model predictions. Even though at times these augmentations, like mosaic augmentation, seem weird, but they have been proven to be very useful in improving dataset results.

Pre-processes

Making sure each image in your dataset follows a specific rule at times helps your model to have a better understanding of the subject at hand by reducing variations in non important aspects. Pre-process features helps you cut down the variations o non important parameters to be able to build models focused on the parameters or aspects that you care the most. For example, size of the image shouldn’t affect the subject of study, or the colour of a car has no effect on the fact that the cars is, we actually a “car”!

Environment agnostic

Deploy into any public, private or classified software and hardware environment: on any cloud, air-gapped bare-metal or at the edge. Take advantage of edge-optimized model architectures that offer advanced predictive capabilities without taking up a ton of on-device memory. Take advantage of edge-optimized model architectures that offer advanced predictive capabilities without taking up a ton of on-device memory.