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BrainChip

BrainChip

Real-time intelligence that runs locally. Ultra-low power. No Data leaves the device. The BrainChip Hub is the perfect place to dive into discussion on real-world use cases, model development, and best practices of BrainChip technology!

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martin-BrainChip shared a project deveco.io · Jul 16
project

PlantVillage Disease Classification [AKIDA HARDWARE]

This project walks through evaluating a PlantVillage AkidaNet model on Akida and, if a hardware device is available, benchmarking its latency and power on a physical AKD1500. It's the hardware companion to the PlantVillage Disease Classification software project. If you haven't seen that yet, it walks through training, quantizing, and converting the model this project benchmarks.

martin-BrainChip shared a project deveco.io · Jul 14
project

PlantVillage Disease Classification

This project walks through the complete pipeline to train, quantize, convert, and benchmark an AkidaNet model on the PlantVillage dataset for Akida 1 hardware. PlantVillage contains 54,303 images of healthy and diseased plant leaves across 38 categories (14 crop species × multiple disease types plus healthy variants). The task is a 38-class image classification problem: given a 224×224 RGB image of a leaf, identify the crop species and disease (or healthy state).