Fruits Classification Dataset - raw

# Overview

The `Fruits` dataset is an image classification dataset of various fruits against white backgrounds from various angles, originally open sourced by GitHub user [horea](https://github.com/Horea94/Fruit-Images-Dataset). This is a subset of that full dataset.

Example Image:

# Use Cases

Build a fruit classifier! This could be a just-for-fun project just as much as you could be building a [color sorter for agricultural use cases](https://www.agriexpo.online/agricultural-manufacturer/color-sorter-3884.html) before fruits make their way to market.

# Using this Dataset

Use the `fork` button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better. This particular dataset would be very well suited for Roboflow's new advanced [Bounding Box Only Augmentations](https://blog.roboflow.ai/introducing-bounding-box-level-augmentations/).

# About Roboflow

[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.

Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.

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## 概述

“水果”数据集是一组由 GitHub 用户 [horea](https://github.com/Horea94/Fruit-Images-Dataset) 开源的多角度、背景为白色的各种水果图像的分类数据集。本数据集是该完整数据集的一个子集。

示例图像：

## 应用场景

构建一个水果分类器！这不仅可以是一个娱乐性质的项目，也可以用于在水果进入市场之前，构建一个[农业用途的颜色分类器](https://www.agriexpo.online/agricultural-manufacturer/color-sorter-3884.html)。

## 使用本数据集

使用“fork”按钮将此数据集复制到您的 Roboflow 账户中，并使用新的预处理设置（例如，根据模型所需的格式调整大小或将图像转换为灰度），或进行额外的增强，以提高模型的泛化能力。该数据集非常适合 Roboflow 的新高级[仅边界框增强](https://blog.roboflow.ai/introducing-bounding-box-level-augmentations/)。

## 关于 Roboflow

[Roboflow](https://roboflow.ai) 致力于使计算机视觉数据集的管理、预处理、增强和版本控制变得无缝。

开发者在使用 Roboflow 的工作流程时，可减少 50% 的代码量，自动化注释质量保证，节省训练时间，并提高模型的可重复性。

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