Mountain Dew Commercial Object Detection Dataset - raw

# Overview

## Mountain Dew is running a $1,000,000 counting contest. Computer Vision can help you win.
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### Watch [our video](https://youtu.be/jqVKdMjPXHA) explaining how to use this dataset.


During Super Bowl LV, Mountain Dew sponsored an ad that encourages viewers to count all unique occurrences of Mountain Dew bottles. You can watch the full ad [here](https://www.youtube.com/watch?v=9cEiYQwYLPk&feature=emb_title). The first person to [tweet](https://twitter.com/MountainDew/status/1358570698583736321) the exactly correct count at Mountain Dew is eligible to win $1 million (see rules [here](https://www.lifechangingdew.com/rules)).

Counting things is a perfect place for where computer vision can help.

We uploaded the Mountain Dew video to Roboflow, created three images per each second of the commercial (91 images from ~30 seconds of commercial), and annotated all bottles we could see. This dataset is the result.

We trained a model to recognize the Mountain Dew bottles, and then ran the original commercial back through this model. This helps identify Mountain Dew bottles that the human eye may have missed when completing counts.


# Getting Started

Click "Fork" in the upper right hand corner or [download the raw annotations](https://public.roboflow.com/object-detection/mountain-dew-commercial/4) in your desired format.

Note that while the images are property of PepsiCo, we are using them here as fair-use for educational purposes and have released the annotations under a Creative Commons license.

# About Roboflow

[Roboflow](https://roboflow.ai) enables teams to use computer vision.
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Our end-to-end platform enables developers to collect, organize, annotate, train, deploy, and improve their computer vision models -- all without needing to hire a new ML engineering team.
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#### [](https://roboflow.com)

## 概述

Mountain Dew 正在进行一场价值一百万美元的计数竞赛。计算机视觉可以帮助您赢得比赛。
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### 观看[我们的视频](https://youtu.be/jqVKdMjPXHA)了解如何使用此数据集。


在超级碗 LV 上，Mountain Dew 赞助了一则广告，鼓励观众统计Mountain Dew瓶子的所有独特出现次数。您可以在此[观看完整的广告](https://www.youtube.com/watch?v=9cEiYQwYLPk&feature=emb_title)。首先在Mountain Dew官方账号[tweet](https://twitter.com/MountainDew/status/1358570698583736321)中准确发布正确计数的人将有权赢得一百万美元（详见[规则](https://www.lifechangingdew.com/rules)）。

计数之事正是计算机视觉能够大显身手的领域。

我们将Mountain Dew的视频上传至Roboflow，为每秒广告内容创建了三张图像（从约30秒的广告中获得了91张图像），并对所有可见的瓶子进行了标注。本数据集即为这一过程的结果。

我们训练了一个模型以识别Mountain Dew瓶子，然后将原始广告再次通过此模型进行处理。这有助于识别人类在完成计数时可能忽略的Mountain Dew瓶子。


# 开始使用

点击右上角的“Fork”或[下载原始标注](https://public.roboflow.com/object-detection/mountain-dew-commercial/4)以获取您所需格式的标注。

请注意，虽然这些图像归百事公司所有，但在此我们将其作为教育目的的合理使用，并已将标注发布在Creative Commons许可下。

# 关于Roboflow

[Roboflow](https://roboflow.ai)使团队能够应用计算机视觉。
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我们的端到端平台使开发者能够收集、组织、标注、训练、部署并改进他们的计算机视觉模型，而无需聘请新的机器学习工程团队。
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