从垃圾邮件过滤到个性化的聊天机器人体验，AI创新正在成为我们日常生活的一面。大多数公司（如果还没有的话）正在考虑在其内部和外部流程中采用AI和机器学习工具。
What many people don’t realize if they haven’t worked with AI and machine learning technology before is that you can’t just go out and buy a functioning algorithm that’s ready to go out of the box for your specific use case and your data. Before you can use an AI algorithm or machine learning model, it has to be trained to your use case. To train the model, you need data. Not only do you need data, you need high-quality, labeled data, and not a small number of data units.
That’s where data labeling tools come into play. Data labeling tools or software are used to label high volumes of data quickly and efficiently so it can be used to train an AI model. Finding the right data labeling tool for your company’s project is critical so that your company doesn’t waste its time or money.
The Importance of Data Labeling to Your Company
Data labeling is a critical step in training and working with machine learning and AI. Without accurately labeled data and high quality training data, your AI program won’t be able to function well. For true success implementing AI at your company, you need good training data that’s correctly labeled.
What is Data Labeling?
Data labeling is theprocess of collecting the data您将需要训练AI算法并正确标记每个数据。如果没有适当的数据收集和标签，您的数据将无用，无法用作培训数据。bob体育手机下载
What is Training Data?
bob体育手机下载is data that has been labeled and is ready to be used to teach AI models or machine learning algorithms how to interpret data correctly. High quality, properly labeled data is critical to the success of any AI model or project. If you have bad training data, you’ll get bad results from your algorithm.
什么是数据标记软件？
数据标签软件我s a tool that can be used to find raw data and to label the data that will then be used to train a machine learning model. The raw data used by data labeling software can include text, audio, and video files.
Because machine learning models must be supervised while learning how to interpret data, it’s critical to have high-quality data that’s properly labeled. Good data labeling software can be more efficient and more accurate than human labeled data.
What to Look for in a Data-Labeling Platform or Software
A data-labeling platform or software program is a tool you can use to collect and label data that will then be ready to train your AI or machine learning algorithm. There are a number of different productions and solutions on the market that can gather and label training data, the key is to find the right tool for your company.
评估工具时，您想寻找对用户友好的东西，这将使您的公司毫不费力地收集和标记数据的过程，以便您可以继续前进，以实现AI和机器学习目标。bob外围怎么样这是评估数据标记解决方案时可以查找的内容。
Quality Assurance (QA)
如果您希望您的AI或机器学习算法和工具才能正常工作，则需要高质量的数据。否则，您会陷入“垃圾和垃圾”的陷阱中。
在评估数据标签解决方案时，您想寻找可以保证其数据标签准确性的bob平台app下载软件或公司。bob外围怎么样确保找出其质量保证政策中包含的内容，以及他们采取哪些步骤来确保其数据标签的准确性。
Another aspect to look for when evaluating quality assurance in data labeling is a combination of machine and human interaction. While some data labeling can be done without human intervention, human QA checks will likely be needed throughout the process. If the tool doesn’t provide skilled data annotators as part of the QA process, you may need to look for another tool.
Accessible Management System
选择用于数据标签的工具或软件时，您需要评估项目管理系统。您需要能够监视和管理项目进度，工人生产力，质量保证检查和数据标签工作流程。您想寻找一个数据标记解决方案，可以将项目管理系统无缝集成到当前的工作流程和工具生态系统中。
Ability to Scale with Your Company
While you may be starting out with a small AI or machine learning project to try your hand and see if it’s beneficial for your company, if you find that it’s incredibly successful, you’ll want to be able to scale up your data labeling and collection of training data. The right data labeling solution will be able to scale and grow with your company.
The Highest Levels of Security and Privacy
每当您处理大量数据时，要问的第一个问题之一就是该数据的安全性和隐私。无论您是处理敏感数据还是看似易于获得的数据，都希望使用具有数据隐私和安全性顶部的数据标签解决方案。
随时可用的帮助台
As with any new solution or software, there will be a learning curve as you start using the program. And, there’s bound to be a problem or two along the way. You’ll want to have a contact on the support team or a help desk that you can reach out to solve any problems you find yourself facing. Before choosing a data labeling tool, be sure to find out what their help desk and support policies are like so you can minimize disruptions to your workflow.
Ability to Get You Data On Your Timeline
在投资之前，您将要使用任何数据标签解决方案解决的另一个问题是，他们是否能够在您的时间表上工作。您将希望能够按计划和时间表获取高质量，正确标记的数据。
Choose Based On Your Use Case
在评估数据标记工具时考虑的另一个问题是您需要标记的数据类型，然后如何使用该数据。不同的数据标记工具专门使用特定类型的数据，例如文本，图像或视频。如果您需要标有不在其专业或利基市场之外的数据，那么评估他们是否能够满足您的数据需求很重要。每种类型的数据都有其自身的独特挑战，可准确标记该数据。
Using these metrics to evaluate different data labeling tools and solutions will help you to be able to find the right data labeling tool for your needs and to solve the problems your company is facing.
为什么不建立自己的培训数据集？bob体育手机下载
是否可以构建自己的培训数据集？bob体育手机下载绝对地！真正的问题是，您想吗？
由于您的AI模型的性能取决于培训数据的质量，除非您具有内部能力来学习如何收集和准确标记该数据，否则您很可能不想在此项目中进行DIY。bob体育手机下载
尽管数据收集和标签在表面上听起来很简单，但在许多绊脚石中，您可能会出错，浪费时间并创建无法使用的数据。
As well, building your own data collection and labeling tool may leave you with little room for growth or adjustment. Most custom-made tools are not designed to be flexible. Another benefit of buying a data labeling tool is that it allows you to get started on your project right away. No waiting for the tool to be built and then to collect the data.
We have a more extensive piece on data annotation tools构建与购买dilemma, if you’re interested in learning more.
How Appen Can Help
If you’re looking for a data labeling tool to help you level up your process,appenis here to help.
We work with over one million skilled contributors, in more than 170 countries and working in 235 languages and dialects to collect and accurately label high volumes of data, including images, text, speech, audio, and video data. No matter what type of training data you’re looking for, we have the resources to collect and label it.
我们有多个安全选项，一直到ISO 27001/ ISO 9001认可的安全设施，以满足最敏感的数据需求。
25年来，我们一直为世界各地的领先技术平台提供高质量的培训数据。bob体育手机下载如果您想升级数据标签过程，请不要再寻找。
Data labeling is an essential step in any machine learning or AI project. Without well-labeled data, you can’t operate an AI algorithm. With state-of-the-art tools and trained, skilled contributors, you can get high-quality, properly-labeled data to get started on your AI project today.
