YoloV8 Segmentation

## Overview

YoloV8 Segmentation is a dataset for object detection tasks - it contains Traffic Signs annotations for 1,738 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

YOLOv8 Segmentation Checks

## Overview

YOLOv8 Segmentation Checks is a dataset for instance segmentation tasks - it contains Crack Concrete Crack annotations for 998 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

• Original dataset: https://github.com/ayoolaolafenwa/PixelLib/releases/tag/1.0.0
• This dataset contains annotations in YOLO format.
• One can train different segmentation models on this dataset.
• Some of the segmentation models are: YOLOv8, Pointrend, MaskRCNN

Facade Elements For Yolov8 Instance Segmentation

## Overview

Facade Elements For Yolov8 Instance Segmentation is a dataset for instance segmentation tasks - it contains Facade Elements annotations for 378 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Rpi4 Yolov8 Segmentation

## Overview

Rpi4 Yolov8 Segmentation is a dataset for instance segmentation tasks - it contains Red Spot And Fish Count annotations for 610 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Yolov8 PCB Segmentation

## Overview

Yolov8 PCB Segmentation is a dataset for instance segmentation tasks - it contains Mouse_bite annotations for 360 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

YOLOv8 Segmentation Method

## Overview

YOLOv8 Segmentation Method is a dataset for object detection tasks - it contains Objects annotations for 200 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Water Segmentation

## Overview

Water Segmentation is a dataset for instance segmentation tasks - it contains Water annotations for 622 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Rock Segmentation

## Overview

Rock Segmentation is a dataset for instance segmentation tasks - it contains Rocks annotations for 299 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This project focuses on building an advanced Instance Segmentation Model to detect socks in images. By leveraging the YOLOv11 Instance Segmentation framework, the model is trained on a custom dataset to accurately identify and segment socks in a variety of environments and contexts.

Segmentation YoloV8

## Overview

Segmentation YoloV8 is a dataset for instance segmentation tasks - it contains Wooden Data annotations for 378 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Segmentation Dataset

## Overview

Segmentation Dataset is a dataset for instance segmentation tasks - it contains TrainingData ArVl annotations for 3,312 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Weapon Segmentation

## Overview

Weapon Segmentation is a dataset for instance segmentation tasks - it contains Weapon annotations for 892 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Tool Segmentation

## Overview

Tool Segmentation is a dataset for instance segmentation tasks - it contains Welding Tools annotations for 784 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Forest Segmentation

## Overview

Forest Segmentation is a dataset for instance segmentation tasks - it contains Forest Tree annotations for 2,274 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Microcontroller Segmentation

## Overview

Microcontroller Segmentation is a dataset for instance segmentation tasks - it contains Microcontrollers annotations for 297 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Turtle Segmentation

## Overview

Turtle Segmentation is a dataset for instance segmentation tasks - it contains Turtle Flipper Head annotations for 8,706 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Segmentation Dataset V2

## Overview

Segmentation Dataset V2 is a dataset for instance segmentation tasks - it contains Segmentation Dataset V2 Boxes To Segmentations Xmldkfjigjei0gjre9gnre9gegnfugnfojgjnfognreognergner15611981981651651611919818151145545414118181524562hjfjyrtyxyt annotations for 645 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

Couch Segmentation

## Overview

Couch Segmentation is a dataset for instance segmentation tasks - it contains Sofas annotations for 1,653 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Here are a few use cases for this project:

1. Grocery Inventory Management: The Onion Detector can be used in supermarkets and grocery stores to automatically monitor and manage the inventory and stock of onions by accurately identifying and counting the onions in the storage area or on display shelves.

2. Onion Harvesting Automation: Developing harvest automation equipment using the Onion Detector model can help farmers and agricultural companies to detect and separate onions from weeding plants or soil, significantly improving the speed and efficiency of onion harvesting processes.

3. Quality Control in Food Industry: The Onion Detector can be integrated into the production line of food processing plants, enabling the system to automatically detect onions in various stages of processing—such as sorting, cleaning, and grading—to ensure a consistent quality of the final product.

4. Onion Waste Reduction: The model can be used in a retail, restaurant, or home setting to identify onions that may be starting to spoil, enabling consumers or foodservice operators to prioritize using these onions before they need to be discarded, ultimately limiting food waste.

5. Smart Kitchen Assistance: By integrating the Onion Detector into smart kitchen appliances, users could receive automatic recipe suggestions based on the available ingredients, including onions, making it easier to determine meal options without manually searching recipe databases.