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Thesis YoloV5 Computer Vision Project

Ateneo de Zamboanga University

Updated 2 years ago

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Object Detection Model yolov8s yolov8 yolov5 yolov8m snap
Classes (9)
Alien
Clown
Demon
Ghost
Slasher
Splatter
Torture
Werewolf
zombie

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Description

Here are a few use cases for this project:

  1. Horror Movie Content Filtering: Thesis YoloV5 can be used by streaming platforms and content providers to identify and categorize horror movies based on the type of horror imagery present, offering tailored content recommendations to users based on their preferred horror subgenres.

  2. Video Game Scene Classification: Game developers can use Thesis YoloV5 to analyze video game scenes in horror games, enabling more immersive and dynamic gameplay experiences by adapting game environments, NPC interactions, or difficulty levels according to the detected horror elements.

  3. Content Moderation for Online Communities: Online forums, social media platforms, and image sharing sites can utilize Thesis YoloV5 to ensure that users adhere to content policies, automatically moderating and flagging inappropriate horror imagery to maintain a safe and inclusive online community.

  4. Augmented Reality Experiences: Thesis YoloV5 can be integrated into AR applications to generate interactive and engaging horror-themed experiences for entertainment, education, or marketing purposes. Users could interact with AI-generated horror characters, solve puzzles based on detected horror elements, or enjoy immersive and personalized storytelling experiences.

  5. Horror-centric Art and Design: Artists, graphic designers, and filmmakers can use Thesis YoloV5 to analyze and reference horror imagery for creating unique visual styles, mood boards, and thematic concepts for art, design projects, or marketing campaigns centered around horror themes.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            thesis-yolov5-jvl6z_dataset,
                            title = { Thesis YoloV5 Dataset },
                            type = { Open Source Dataset },
                            author = { Ateneo de Zamboanga University },
                            howpublished = { \url{ https://universe.roboflow.com/ateneo-de-zamboanga-university/thesis-yolov5-jvl6z } },
                            url = { https://universe.roboflow.com/ateneo-de-zamboanga-university/thesis-yolov5-jvl6z },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2025-04-19 },
                            }

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