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https://github.com/sikandarjodd/fruit-detection
Fruit Detection using RoboFlow API : Apple, PineApple, Watermelon, Onions, Tomato
https://github.com/sikandarjodd/fruit-detection
apple-detection detection fruit-detection pineapple roboflow roboflow-api roboflow-dataset
Last synced: 13 days ago
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Fruit Detection using RoboFlow API : Apple, PineApple, Watermelon, Onions, Tomato
- Host: GitHub
- URL: https://github.com/sikandarjodd/fruit-detection
- Owner: SikandarJODD
- Created: 2024-01-20T00:50:22.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2024-01-20T03:14:59.000Z (12 months ago)
- Last Synced: 2024-12-19T02:07:31.392Z (15 days ago)
- Topics: apple-detection, detection, fruit-detection, pineapple, roboflow, roboflow-api, roboflow-dataset
- Language: Svelte
- Homepage: https://fruit-detection-bytes.vercel.app
- Size: 88.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# create-svelte
Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).
## Creating a project
If you're seeing this, you've probably already done this step. Congrats!
```bash
# create a new project in the current directory
npm create svelte@latest# create a new project in my-app
npm create svelte@latest my-app
```## Developing
Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:
```bash
npm run dev# or start the server and open the app in a new browser tab
npm run dev -- --open
```## Building
To create a production version of your app:
```bash
npm run build
```You can preview the production build with `npm run preview`.
> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.