Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Akida Image Classification
This is the finished Edge Impulse project for the tutorial 'Adding sight to your sensors'. From here you can acquire new training data, design impulses and train models.
About this project
Lamps and Plants and Bears, oh my!
Want to make the most of your device's camera and predict what is/is not present in your device's environment? Clone this project to build an embedded ML project to add intelligent sight to your device.
You can also follow our tutorial to guide you through building your image classification model, from data collection to deployment on embedded devices.
Sensor & Block Information
- Image data
- Image DSP block for normalizing image files
- Transfer Learning block with prediction outputs: "lamp", "plant", "unknown"
Run this model
Scan QR code or launch in browser
Dataset summary
Data collected
289 itemsLabels
lamp, plant, unknownProject info
| Project ID | 115634 |
| Project version | 7 |
| License | Apache 2.0 |
| No. of views | 134,663 |
| No. of clones | 50 |
