Skip to main content
Part of the Internet of Communities™
⌘K
Log inSign up
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!

6 Members 3 Posts 2 Projects Founded Jul 2026
Open to All
martin-BrainChip shared a project · Jul 16
PlantVillage Disease Classification [AKIDA HARDWARE]
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 · Jul 14
PlantVillage Disease Classification
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).

martin-BrainChip shared a project · Jul 13
Test 3
project

Test 3

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).