Counter Strike 2 Body and Head Classification
Counter Strike 2 Body and Head Classification
Datasets
Counter Strike 2 Body and Head Classification
File
Counter Strike 2 Body and Head Classification
Use Case
Counter Strike 2 Body and Head Classification
Description
Explore object detection in CS and CS2, focusing on four key classes and addressing a minor annotation issue. Learn how to handle the extra class for accurate model configuration and leverage comprehensive annotated datasets for advanced computer vision applications.
Description:
Object detection in Counter-Strike: Global Offensive (CS
) and its successor, Counter-Strike 2 (CS2), is a fascinating and challenging task that has garnered interest within the computer vision community. This article delves into the process of creating an object detection dataset specifically for CS
and CS2, highlighting the different classes involved and addressing a minor issue encountered during annotation.
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The dataset contains annotated images from various CS
matches, offering diverse scenarios and lighting conditions to ensure comprehensive training data. Each image is meticulously annotated, distinguishing between CT and T bodies and heads for precise object detection. This level of detail is essential for applications such as game analytics, player performance monitoring, and AI training for gaming bots. By informing users about the extra class, we ensure transparency and proper handling of the dataset, contributing to advancements in computer vision applications within the gaming industry.
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