Shakhizat Nurgaliyev / Identification and Classification of Rice Varieties
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
Maintenance window planned next Monday, 04/29 at 5:00AM UTC (more)
About this project
In this project, a computer vision system was developed using Edge Impulse's FOMO(Faster Objects, More Objects) algorithm in order to distinguish between two rice species(Jasmine and Basmati). Full details: https://www.hackster.io/shahizat005/detection-of-rice-varieties-using-edge-impulse-s-fomo-d39f56
Download block output
Title | Type | Size | |
---|---|---|---|
Image training data | NPY file | 600 windows | |
Image training labels | JSON file | 600 windows | |
Image testing data | NPY file | 5 windows | |
Image testing labels | JSON file | 5 windows | |
Rice Varieties detection model | TensorFlow Lite (float32) | 82 KB | |
Rice Varieties detection model | TensorFlow Lite (int8 quantized) | 56 KB | |
Rice Varieties detection model | TensorFlow SavedModel | 186 KB | |
Rice Varieties detection model | Keras h5 model | 88 KB |
Clone project
You are viewing a public Edge Impulse project. Clone this project to add data or make changes.
Summary
Data collected
605 itemsProject info
Project ID | 116760 |
Project version | 2 |
License | No license attached |