Category: Object Detection

Here we briefly described how we deployed our Adaptive Learning object Detection Model on X86s and Jetson devices using NVIDIA DeepStream and Triton Inference Server.

In this tutorial, you will find a step-by-step guide on how to use Galliot’s new Adaptive Learning edge vision Service and build a specialized lightweight Object Detection model for your environment.

This article explains how to map pixel distances on 2D images to the corresponding real-world distances in 3D scenes using Homography Estimation and applies this approach to a practical problem as a use case.

Adaptive learning builds robust systems that adapt to novel data distributions without having to store or transfer data from edge devices to other systems.

This tutorial explains approaches to quantization in deep neural networks and the advantages and disadvantages of using each method with a real-world example.

In this post, we explain how we deployed an SSD MobileNet TensorFlow model on NVIDIA Jetson Nano using the TensorFlow Object Detection API.