Major Project Kaggle

## Overview

Major Project Kaggle is a dataset for object detection tasks - it contains Elephant Deer Buffalo Rhino 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).

Dataset

This dataset was created by Kedar Jadav

Contents

Dataset

This dataset was created by Sauravchauhan_FE_ENTCA

Released under MIT

Contents

12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by order Number and it's date, product type and it's quantity, cost and purchase address

Column descriptors : Each dataset has:

Order Id: The id of the order.

Product: The type of the product bought.

Quantity Ordered: How many of the product was ordered.

Price Each: The price of a single item.

Order Date: When the product was ordered including the year,month, day, hours and minutes

Purchase Adrress: Where to deliver the order.

Questions: Question 1: What was the best month for sales? How much was earned that month?

Question 2 : Which city had the highest number of sales?

Question 3: What time should we display advertisements to maximize the likelihood of purchasses and Sales?

Question 4: What products are most often sold together?

Question 5: Which product was sold the most?

Dataset Description: 200 Agile Software Projects Overview This dataset contains records of 200 Agile software development projects. It includes various performance metrics related to Agile methodologies, measuring their effectiveness in project success, risk mitigation, time efficiency, and cost savings. The dataset is designed for analysis of AI-driven automation in Agile software teams.

Dataset Variables Agile Effectiveness (Likert scale: 2 to 5)

1. Measures how well Agile methodologies enhance project management processes. Risk Mitigation (Likert scale: 2 to 5)

2. Captures the effectiveness of Agile in identifying and reducing risks throughout the project lifecycle. Management Satisfaction (Likert scale: 2 to 5)

3. Represents how satisfied management is with the outcomes of Agile-implemented projects. Supply Chain Improvement (Likert scale: 2 to 5)

4. Evaluates the impact of Agile practices on optimizing supply chain processes. Time Efficiency (Likert scale: 2 to 5)

5. Measures improvements in time management within Agile projects. Cost Savings (%) (Range: 10% to 48%)

6. Quantifies the percentage of cost savings achieved due to Agile methodologies. Project Success (Binary: 0 = Failure, 1 = Success)

Indicates whether the project was considered successful. Usage This dataset is useful for: ✅ Evaluating the impact of AI automation on Agile workflows. ✅ Understanding factors contributing to Agile project success. ✅ Analyzing cost savings and efficiency improvements in Agile teams. ✅ Building machine learning models to predict project success based on Agile metrics.

The BDG2 open data set consists of 3,053 energy meters from 1,636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 measurements per meter resulting in approximately 53.6 million measurements). These meters are collected from 19 sites across North America and Europe, and they measure electrical, heating and cooling water, steam, and solar energy as well as water and irrigation meters. Part of these data was used in the Great Energy Predictor III (GEPIII) competition hosted by the ASHRAE organization in October-December 2019. This subset includes data from 2,380 meters from 1,448 buildings that were used in the GEPIII, a machine learning competition for long-term prediction with an application to measurement and verification. This paper describes the process of data collection, cleaning, and convergence of time-series meter data, the meta-data about the buildings, and complementary weather data. This data set can be used for further prediction benchmarking and prototyping as well as anomaly detection, energy analysis, and building type classification.

Dataset By Kaggle

## Overview

Dataset By Kaggle is a dataset for object detection tasks - it contains LP annotations for 1,132 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).

Safety Helmet Kaggle

## Overview

Safety Helmet Kaggle is a dataset for object detection tasks - it contains Helmet Head Person annotations for 6,088 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).

Kaggle Datasets For Traffic

## Overview

Kaggle Datasets For Traffic is a dataset for object detection tasks - it contains Traffic Sign annotations for 8,122 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).

Car Damages Kaggle

## Overview

Car Damages Kaggle is a dataset for instance segmentation tasks - it contains Car Damages annotations for 814 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).

Kaggle Unique

## Overview

Kaggle Unique is a dataset for object detection tasks - it contains Teeth 1v7Q annotations for 5,043 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).

Dataset

This dataset was created by Social.joker

Contents

ml-project-group-3/kaggle-airline-delay dataset hosted on Hugging Face and contributed by the HF Datasets community

Bone Fracture Detection

A comprehensive dataset of X-ray images was created for bone fracture detection, specifically designed for computer vision projects. The primary goal of this dataset is to aid in developing and evaluating algorithms for automated bone fracture detection.

The dataset contains images categorized into different classes, each representing a specific type of bone fracture. These classes include Elbow Positive, Fingers Positive, Forearm Fracture, Humerus Fracture, Shoulder Fracture, and Wrist Positive.

Each image in the dataset is annotated with either bounding boxes or pixel-level segmentation masks to indicate the location and extent of the detected fracture. This facilitates the training and evaluation of bone fracture detection algorithms.

The bone fracture detection dataset is a useful resource for researchers and developers who want to train machine learning models, specifically focusing on object detection algorithms, to automatically detect and classify bone fractures in X-ray images. The dataset's diversity of fracture classes enables the development of robust models capable of accurately identifying fractures in different regions of the upper extremities.

The aim of creating this dataset is to accelerate the development of computer vision solutions for automated fracture detection, supporting advancements in medical diagnostics and improving patient care.

Please when using this dataset for your research cite me by this DOI: 10.13140/RG.2.2.14400.34569 ,in ResearchGate :https://www.researchgate.net/publication/382268240_Bone_Fracture_Detection_Computer_Vision_Project

LP Kaggle

## Overview

LP Kaggle is a dataset for object detection tasks - it contains Licesnse Plates annotations for 288 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).

In this project, we aim to analyze and gain insights into the performance of students based on various factors that influence their academic achievements. We have collected data related to students' demographic information, family background, and their exam scores in different subjects.

**********Key Objectives:*********

1. Performance Evaluation: Evaluate and understand the academic performance of students by analyzing their scores in various subjects.

2. Identifying Underlying Factors: Investigate factors that might contribute to variations in student performance, such as parental education, family size, and student attendance.

3. Visualizing Insights: Create data visualizations to present the findings effectively and intuitively.

Dataset Details:

• The dataset used in this analysis contains information about students, including their age, gender, parental education, lunch type, and test scores in subjects like mathematics, reading, and writing.

Analysis Highlights:

• We will perform a comprehensive analysis of the dataset, including data cleaning, exploration, and visualization to gain insights into various aspects of student performance.

• By employing statistical methods and machine learning techniques, we will determine the significant factors that affect student performance.

Why This Matters:

Understanding the factors that influence student performance is crucial for educators, policymakers, and parents. This analysis can help in making informed decisions to improve educational outcomes and provide support where it is most needed.

Acknowledgments:

We would like to express our gratitude to [mention any data sources or collaborators] for making this dataset available.

Please Note:

This project is meant for educational and analytical purposes. The dataset used is fictitious and does not represent any specific educational institution or individuals.

Road Crack Kaggle

## Overview

Road Crack Kaggle is a dataset for object detection tasks - it contains Crack IQK6 annotations for 3,643 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).

Kaggle Cup

## Overview

Kaggle Cup is a dataset for classification tasks - it contains Disease annotations for 1,200 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).

Kaggle Road Sign Dataset

## Overview

Kaggle Road Sign Dataset is a dataset for object detection tasks - it contains Traffic Sign annotations for 823 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).

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