Library

## Overview

Library is a dataset for object detection tasks - it contains Zhyz annotations for 1,464 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Thp_library_v1

## Overview

Thp_library_v1 is a dataset for object detection tasks - it contains Book Label annotations for 578 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).

Library

## Overview

Library is a dataset for instance segmentation tasks - it contains Frame annotations for 365 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).

Full Library One Sided

## Overview

Full Library One Sided is a dataset for object detection tasks - it contains Pills annotations for 6,752 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).

Library Seat Detection

## Overview

Library Seat Detection is a dataset for object detection tasks - it contains Person Bag Laptop annotations for 2,773 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).

About This Dataset

The Roboflow Website Screenshots dataset is a synthetically generated dataset composed of screenshots from over 1000 of the world's top websites. They have been automatically annotated to label the following classes: :fa-spacer: * button - navigation links, tabs, etc. * heading - text that was enclosed in <h1> to <h6> tags. * link - inline, textual <a> tags. * label - text labeling form fields. * text - all other text. * image - <img>, <svg>, or <video> tags, and icons. * iframe - ads and 3rd party content.

Example

This is an example image and annotation from the dataset: https://i.imgur.com/mOG3u3Z.png" alt="WIkipedia Screenshot">

Usage

Annotated screenshots are very useful in Robotic Process Automation. But they can be expensive to label. This dataset would cost over $4000 for humans to label on popular labeling services. We hope this dataset provides a good starting point for your project. Try it with a model from our model library.

Collecting Custom Data

Roboflow is happy to provide a custom screenshots dataset to meet your particular needs. We can crawl public or internal web applications. Just reach out and we'll be happy to provide a quote!

About Roboflow

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. :fa-spacer: Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer:

Library Occupancy

## Overview

Library Occupancy is a dataset for object detection tasks - it contains Occupancy annotations for 448 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).

The zip file contains the following data:

1. TrainedModel folder: The trained “SSD MobileNet v2 FPNLite 320x320” model in tensorflow2 standard format (checkpoint, saved_model). Converted also as .tflite and fullinteger quantized for inference on edge TPU (saved_model/lite). For more information on the used model please see the README file within this folder.

2. ImageDataset folder: Labelled images used for training (train, valid) and evaluation (test). For further information see the README file in the folder (e.g. set size, download and augmentation/preprocessing). Images were labelled and data was augmented using Roboflow. Data is also available in the Roboflow model library, please see links in the README file within this folder.

3. EvaluationData folder: Data and images used for this evaluation report.

The evaluation results are summarized and interpreted in the README file in the root folder.

This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2002/1 “Science of Intelligence” – project number 390523135.

ISCAT Particle Image Library

## Overview

ISCAT Particle Image Library is a dataset for object detection tasks - it contains Particles annotations for 2,086 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).

SSD PCB Parts (FE Library)

## Overview

SSD PCB Parts (FE Library) is a dataset for object detection tasks - it contains Parts annotations for 2,005 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).

Library Object Detectin

## Overview

Library Object Detectin is a dataset for object detection tasks - it contains Bag Laptop Person 7Dva Bag Laptop Person NvRk Tes Person Bag Laptop X7Ck Bag Laptop Person 1xRg annotations for 7,290 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).

PPEv2

## Overview

PPEv2 is a dataset for object detection tasks - it contains Predict If A Person Has Ppe On annotations for 1,037 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Library_v2

## Overview

Library_v2 is a dataset for object detection tasks - it contains Dfv annotations for 3,459 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).

Brake Ligh Detection

## Overview

Brake Ligh Detection is a dataset for object detection tasks - it contains CCB annotations for 259 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).

Road Identifier

## Overview

Road Identifier is a dataset for object detection tasks - it contains Road annotations for 1,311 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).

Lib 1400 Rest Abeer

## Overview

Lib 1400 Rest Abeer is a dataset for object detection tasks - it contains Items annotations for 679 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).

PersonBag(yolov8)

## Overview

PersonBag(yolov8) is a dataset for object detection tasks - it contains Person And Bag AbNv annotations for 534 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).

COCOTEXT

## Overview

COCOTEXT is a dataset for object detection tasks - it contains Text annotations for 8,474 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. Academic Learning and Research: This model can be utilized in educational settings to automatically detect and catalog figures, tables, and formulas from various academic documents. This would make data more easily searchable for students and researchers.

2. Digital Library Management: Librarians and digital content managers can use this model to digitize print resources, detect and categorize the content (formulas, tables, figures) to make library resources more accessible and easy to navigate for users.

3. Newspaper and Magazine Digitization: Media organizations can use this model to efficiently digitize their print publications, categorizing and tagging formulas, tables, and figures to ease the process of archiving and retrieving specific content.

4. Content-based Information Retrieval: Companies working with large datasets of documents can use this model to identify and index figures and formulas, improving the efficiency and precision of their information retrieval systems.

5. Publishing Industry: Publishers can use this model in the production process to auto-detect and classify the distinct content components of a given page. Thus, helping in efficiently organizing content and providing quality control.

Here are a few use cases for this project:

1. Library Management: Use the "books" model to help librarians identify and categorize books based on their covers, making it easier to manage book inventory, re-shelve returned books, and locate misplaced books.

2. Bookstore Assistance: Implement the "books" model in bookstores' mobile apps or in-store kiosks, allowing customers to quickly find books they are looking for and discover related titles by snapping a picture of a book cover.

3. Book Club Recommendation Engine: Use the "books" model as the basis for a book club app that recommends new titles based on the book covers from previous selections, helping users explore new genres and authors.

4. Accessibility for Visually Impaired: Integrate the "books" model into software or devices designed for visually impaired individuals, helping them identify and select books without needing to rely on others for assistance.

5. Academic Research: Utilize the "books" model in academic research projects to identify books and their authors for literary, historical, or sociological studies, making it easier to analyze large datasets of visual book cover material.