Clash of Clans Computer Vision Project
Find This Base
Updated a year ago
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Classes (16)
AD
AirSweeper
BombTower
Canon
ClanCastle
Eagle
Inferno
KingPad
Mortar
QueenPad
RcPad
Scattershot
TH13
WardenPad
WizzTower
Xbow
Metrics
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Description
Background Information
This dataset was curated and annotated by Find This Base. A custom dataset composed of 16 classes from the popular mobile game, Clash of Clans.
- Classes: Canon, WizzTower, Xbow, AD, Mortar, Inferno, Scattershot, AirSweeper, BombTower, ClanCastle, Eagle, KingPad, QueenPad, RcPad, TH13 and WardenPad.
The original custom dataset (v1) is composed of 125 annotated images.
The dataset is available under the CC BY 4.0 license.
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.
Dataset Versions
Version 1 (v1) - 125 images
- Preprocessing - Auto-Orient and Resize: Fit (black edges) to 640x640
- Augmentations - No augmentations applied
- Training Metrics - Trained from Scratch (no checkpoint used) on Roboflow
- mAP = 83.1%, precision = 43.0%, recall = 99.1%
Version 4 (v4) - 301 images
- Preprocessing - Auto-Orient and Resize: Fit (black edges) to 640x640
- Augmentations - Mosaic
- Generated Images - Outputs per training example: 3
- Training Metrics - Trained from Scratch (no checkpoint used) on Roboflow
- mAP = %, precision = %, recall = %
Find This Base: Official Website | How to Use Find This Base | Discord | Patreon
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
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{
clash-of-clans-vop4y_dataset,
title = { Clash of Clans Dataset },
type = { Open Source Dataset },
author = { Find This Base },
howpublished = { \url{ https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y } },
url = { https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2025-07-10 },
}