Saturday, Dec 3, 2022
shippedBuilding fruit detection with notebook and model updates
Anurag Verma expanded the Fruits-and-Vegetable-Detection project with new notebooks and model files, while starting a new repository to document his work on Hashnode.
1 person shipped this
Four commits landed in anurag629/Fruits-and-Vegitable-Detection [1] [2] [3] [4]. Verma added a Jupyter notebook to the project [1], then placed a trained model in the correct directory structure [2]. He added a comprehensive list of class names to the repository [3], and updated the README.md to document the project [4].
Separately, Verma initialized a new repository, anurag629/hashnode_anurag629 [5], to host technical posts. He published two pieces there: a post on Python fundamentals [6] and a detailed writeup on fruit classification using convolutional neural networks with transfer learning [7].
Sources
- added notebook in notebook · anurag629/Fruits-and-Vegitable-Detection
- added model in correct directory · anurag629/Fruits-and-Vegitable-Detection
- added all class names · anurag629/Fruits-and-Vegitable-Detection
- Update README.md · anurag629/Fruits-and-Vegitable-Detection
- Initial commit · anurag629/hashnode_anurag629
- create post: Python Basics: You all need to know ... · anurag629/hashnode_anurag629
- create post: Fruits CNN Classification Transfer Learning · anurag629/hashnode_anurag629