DOTA V2.0

## Overview

DOTA V2.0 is a dataset for object detection tasks - it contains No annotations for 1,822 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 the past decade, significant progress in object detection has been made in natural images, but authors of the DOTA v2.0: Dataset of Object deTection in Aerial images note that this progress hasn't extended to aerial images. The main reason for this discrepancy is the substantial variations in object scale and orientation caused by the bird's-eye view of aerial images. One major obstacle to the development of object detection in aerial images (ODAI) is the lack of large-scale benchmark datasets. The DOTA dataset contains 1,793,658 object instances spanning 18 different categories, all annotated with oriented bounding box annotations (OBB). These annotations were collected from a total of 11,268 aerial images. Using this extensive and meticulously annotated dataset, the authors establish baselines covering ten state-of-the-art algorithms, each with over 70 different configurations. These configurations are evaluated for both speed and accuracy performance.

Dota 2 Hero Performance Analysis: Patchwise Insights

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1937611%2F51ffc92e75717961ffc0501fa9b300bc%2F2424049e3abddf0832c68381afaccf2f.jpeg?generation=1715252548682954&alt=media" alt="Dota2">

The dataset aims to provide insights into the performance of Dota 2 heroes across various patches. Here's a breakdown of the columns in the dataset:

• Hero: The name of the Dota 2 hero.
• Win Rate: The win rate of the hero, indicating the percentage of games won when the hero is picked.
• Pick Rate: The pick rate of the hero, representing the frequency at which the hero is selected in matches.
• KDA Ratio: The Kill-Death-Assist (KDA) ratio of the hero, providing an overall measure of performance in battles.
• Patch: The version or patch of Dota 2 in which the hero performance data was collected.

This analysis aims to achieve the following objectives:

1. Understand Hero Performance: Analyze win rates, pick rates, and KDA ratios to understand the performance of Dota 2 heroes across different patches.

2. Identify Meta Trends: Identify trends in hero popularity and effectiveness over time, shedding light on the evolving meta-game of Dota 2.

3. Assess Balance Changes: Evaluate the impact of balance changes and updates introduced in different patches on hero performance and player strategies.

4. Inform Player Strategies: Provide insights to Dota 2 players and enthusiasts to inform their hero selection strategies and gameplay decisions.

5. Track Patchwise Dynamics: Track changes in hero performance metrics across patches to anticipate meta shifts and adapt gameplay accordingly.

By analyzing this dataset, players, analysts, and enthusiasts can gain valuable insights into the performance dynamics of Dota 2 heroes and make informed decisions to enhance their gameplay experience.

Dota 2 Minimap

## Overview

Dota 2 Minimap is a dataset for object detection tasks - it contains Heroes annotations for 400 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 [BY-NC-SA 4.0 license](https://creativecommons.org/licenses/BY-NC-SA 4.0).

DOTA Military Detection

## Overview

DOTA Military Detection is a dataset for object detection tasks - it contains Military annotations for 1,861 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).

Dotadata

## Overview

Dotadata is a dataset for object detection tasks - it contains Dota annotations for 2,223 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).

Dota2 Kill Death Assist

## Overview

 Dota2 Kill Death Assist is a dataset for object detection tasks - it contains Kill W8IG annotations for 278 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).