five

Boggle Boards Object Detection Dataset

收藏
public.roboflow.com2023-06-14 更新2025-03-22 收录
下载链接:
https://public.roboflow.com/object-detection/boggle-boards
下载链接
链接失效反馈
官方服务:
资源简介:
# Overview We have captured and annotated photos of the popular board game, Boggle. Images are predominantly from 4x4 Boggle with about 30 images from Big Boggle (5x5). - 357 images - 7110 annotated letter cubes These images are released for you to use in training your machine learning models. # Use Cases We used this dataset to create [BoardBoss](https://boardboss.com), an augmented reality board game helper app. You can [download BoardBoss in the App Store](https://apps.apple.com/us/app/boardboss/id1476841910) for free to see the end result! :fa-spacer: ![BoardBoss](https://ph-files.imgix.net/468fa673-26c4-4458-8957-369cb72addcd?auto=format&auto=compress&codec=mozjpeg&cs=strip) :fa-spacer: The model trained from this dataset was paired with some heuristics to recreate the board state and overlay it with an AR representation. We then used a traditional recursive backtracking algorithm to find and show the best words on the board. # Using this Dataset We're releasing the data as public domain. Feel free to use it for any purpose. It's not required to provide attribution, but it'd be nice! :fal-smile-wink: # About Roboflow [Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer: #### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)

{'# Overview': '概览', 'We have captured and annotated photos of the popular board game, Boggle. Images are predominantly from 4x4 Boggle with about 30 images from Big Boggle (5x5).': '本数据集收录并标注了流行拼字游戏 Boggle 的照片,其中以 4x4 Boggle 的图像为主,约包含 30 张 5x5 大 Boggle 的图像。', '- 357 images': '- 包含 357 张图像', '- 7110 annotated letter cubes': '- 包含 7110 个标注的字母立方体', 'These images are released for you to use in training your machine learning models.': '这些图像公开发布,供您用于训练您的机器学习模型。', '# Use Cases': '应用场景', 'We used this dataset to create [BoardBoss](https://boardboss.com), an augmented reality board game helper app. You can [download BoardBoss in the App Store](https://apps.apple.com/us/app/boardboss/id1476841910) for free to see the end result!': '本数据集被用于创建 [BoardBoss](https://boardboss.com),一款增强现实版拼字游戏辅助应用。您可以在 App Store 中免费下载 BoardBoss 以查看最终效果!', ':fa-spacer:![BoardBoss](https://ph-files.imgix.net/468fa673-26c4-4458-8957-369cb72addcd?auto=format&auto=compress&codec=mozjpeg&cs=strip):fa-spacer:': ':fa-spacer:![BoardBoss](https://ph-files.imgix.net/468fa673-26c4-4458-8957-369cb72addcd?auto=format&auto=compress&codec=mozjpeg&cs=strip):fa-spacer:', 'The model trained from this dataset was paired with some heuristics to recreate the board state and overlay it with an AR representation. We then used a traditional recursive backtracking algorithm to find and show the best words on the board.': '基于本数据集训练的模型与一些启发式方法相结合,以重建游戏板状态并将其与增强现实表示叠加。随后,我们使用传统的递归回溯算法来寻找并显示游戏板上的最佳单词。', '# Using this Dataset': '使用此数据集', "We're releasing the data as public domain. Feel free to use it for any purpose.": '我们将数据发布为公有领域。您可自由用于任何目的。', "It's not required to provide attribution, but it'd be nice! :fal-smile-wink:": '无需提供归属,但若能如此则更显美德!:fal-smile-wink:', '# About Roboflow': '关于 Roboflow', '[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.': '[Roboflow](https://roboflow.ai) 使计算机视觉数据集的管理、预处理、增强和版本控制变得无缝。', "Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility.": '开发者在使用 Roboflow 的工作流程时,可以减少 50% 的模板代码,节省训练时间,并提高模型的可重复性。', ':fa-spacer:#### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)': ':fa-spacer:#### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)'}
提供机构:
Roboflow
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作