2 docs tagged with "model deployment"

This document details the model training and deployment workflow for the NE301 series AI smart camera. It covers setting up a YOLO training environment, model training, exporting to TFLite format, model quantization and evaluation, and finally deploying the quantized model to the NE301 device using either Makefile build or Web UI upload methods, helping developers achieve efficient edge AI model deployment.

Verified models for NE301, covering 12 models across general object detection, person detection, pose estimation, face detection, meter reading detection (digital and analog gauges), and instance segmentation, with verification result images and download links to help users quickly select and deploy AI models for their scenarios.