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Expansive data I/O tools
Extensive data management tools
Dataset analysis tools
Extensive data management tools
Data generation tools to increase yields
Top of the line hardware available 24/7
AIEX Deep Learning platform provides you with all the tools necessary for a complete Deep Learning workflow. Everything from data management tools to model traininng and finally deploying the trained models. You can easily transform your visual inspections using the trained models and save on tima and money, increase accuracy and speed.
High-end hardware for real-time 24/7 inferences
transformation in automotive industry
Discover how AI is helping shape the future
Cutting edge, 24/7 on premise inspections
See how AI helps us build safer workspaces
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
Helping you with weather effects like rain, fog, sunshine, snow
Color, hue, saturation, contrast and many more augmentations
Rotating or flipping images and subjects
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.
Easiliy increase your dataset size with some of the best tested viual augmentations like Hue, Contrast, Blur and Noise to create new images from your existing ones.
Easiliy increase your dataset size with some of the best tested Topology augmentations like Rotation & Flipping to create new images from your existing ones.
With intuitive tools like Image Tiler, tile your images with fractal-like structures (for example corrosion or cracks) to better train your models and increase your dataset size.
Augment your dataset with new, high quality images obtained through one of the best augmentation techniques in the industry.
Use AI and machine learning at the edgeUse AI and machine learning at the edge
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.
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”!
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.
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