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: 3 months 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 (over 1 year ago)
Default Branch: master
Last Pushed: 2024-01-20T03:14:59.000Z (over 1 year ago)
Last Synced: 2025-04-03T13:54:37.002Z (3 months 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: 1
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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.