Flowers Datasets (dandelion & daisy)

Flowers Datasets (dandelion & daisy)

Datasets

Flowers Datasets (dandelion & daisy)

File

Flowers Datasets (dandelion & daisy)

Use Case

Flowers Datasets (dandelion & daisy)

Description

Create a flower classification model with our dataset, perfect for plant identification and flower recognition apps.

Flowers Datasets (dandelion & daisy)

Description:

The Flowers Classification Dataset contains images of several flower species, including daisies and dandelions, and is designed for image classification tasks. This dataset is ideal for training models to recognize different flower species for applications in computer vision and artificial intelligence.

Download Dataset

Create a flower classification dataset and deploy it in a mobile app designed for outdoor enthusiasts or florist hobbyists. Whether you’re building an app for plant identification or flower recognition, this dataset is the perfect starting point for a powerful computer vision application.

How to Use This Dataset:

  1. Copy & Customize
    First, fork this dataset to your own Roboflow account. From there, you can easily customize and preprocess it to fit your needs. Adjust settings like image resizing, grayscale conversion, or apply advanced augmentations to optimize your model for better performance and generalization.

  2. Preprocessing Options
    With Roboflow’s powerful tools, you can preprocess images to match your model’s desired format. This ensures faster training and higher accuracy. Additionally, you can apply Bounding Box Only Augmentations to enhance model performance, particularly for object detection tasks.

Why Choose Roboflow?

Roboflow is a leading platform that simplifies the process of managing, preprocessing, augmenting, and versioning datasets for computer vision projects. With Roboflow, developers can:

  • Cut development time by 50% using automated workflows.
  • Ensure high-quality annotations with automated quality assurance tools.
  • Enhance model reproducibility through version-controlled datasets.
  • Save training time and optimize performance with advanced preprocessing tools

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