Labelbox
4.42
0
Labelbox provides top-tier data and labeling services for AI models, integrated with Google Cloud for efficient evaluation.
Labelbox Reviews
4.42
Based on 12 reviews
How would you rate Labelbox?
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Fang Yuan
January 7, 2025
What do you like most about using Labelbox?
The integration with Google Cloud is useful, and the platform offers a variety of labeling options.
What do you dislike most about using Labelbox?
The cost is quite high for smaller teams, and the platform can feel overwhelming with so many features.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has improved our data management processes, but I feel there are cheaper alternatives that offer similar capabilities.
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Meera Patel
January 5, 2025
What do you like most about using Labelbox?
I love the flexibility of Labelbox in terms of customizing labeling jobs. The platform adapts well to our specific requirements, which is a huge plus.
What do you dislike most about using Labelbox?
Sometimes, the platform can be a bit slow, especially during peak usage times.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has drastically reduced our turnaround time for labeling, allowing us to iterate on our models faster. This speed is essential in the fast-moving AI landscape.
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Takuya Suzuki
January 5, 2025
What do you like most about using Labelbox?
The integration with Google Cloud is fantastic! It allows our team to run evaluations quickly and effectively, which is essential for our AI projects.
What do you dislike most about using Labelbox?
Some features seem to require a steep learning curve, especially for those who are new to data labeling platforms.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox effectively addresses the challenge of managing multiple labeling jobs at once. It has enabled us to deliver projects on time, which is vital in our competitive market.
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Fatima Ahmed
January 4, 2025
What do you like most about using Labelbox?
The user experience is top-notch! The interface is simple yet powerful, making it easy for our team to get up and running quickly.
What do you dislike most about using Labelbox?
It would be great if there was a more robust free trial option to test all features without commitment.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox helps us manage our data efficiently, allowing us to focus on building better AI models instead of getting bogged down with data preparation.
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Nia Ochieng
January 4, 2025
What do you like most about using Labelbox?
I appreciate the intuitive user interface of Labelbox, which makes it easy to navigate and manage labeling tasks. The integration with Google Cloud is a game changer for our team, allowing us to leverage the power of Vertex AI seamlessly.
What do you dislike most about using Labelbox?
While the platform is quite powerful, I found that the pricing can be on the higher side for smaller projects. It might not be the most budget-friendly option for startups.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox helps streamline our data labeling process, significantly reducing the time it takes to prepare datasets for training AI models. This efficiency allows us to focus more on model development rather than data preparation.
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Lucas Johnson
January 2, 2025
What do you like most about using Labelbox?
The overall efficiency and quality of labels provided by Labelbox are outstanding compared to other tools we've used.
What do you dislike most about using Labelbox?
Sometimes, the platform can be a bit slow to load, which can interrupt our workflow.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has significantly reduced our time to market by speeding up the data preparation phase, which is crucial for our competitive edge.
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Hassan Ali
December 27, 2024
What do you like most about using Labelbox?
The integration with other Google Cloud services is seamless, which enhances our workflow significantly.
What do you dislike most about using Labelbox?
I sometimes find the dashboard a bit cluttered with information, which can be overwhelming.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has streamlined our data labeling process, which has allowed us to allocate more time to refining our AI models.
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Raj Choudhury
December 23, 2024
What do you like most about using Labelbox?
I find the automated labeling features particularly useful for quickly processing large datasets.
What do you dislike most about using Labelbox?
It can sometimes be a bit pricey for our budget, especially when scaling up.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox allows us to efficiently manage our labeling needs, which helps us stay focused on our core development tasks.
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David Kimani
December 16, 2024
What do you like most about using Labelbox?
The quality of the labeled data is exceptional! Labelbox's expert labeling services ensure that our datasets are accurate, which is crucial for the performance of our AI models.
What do you dislike most about using Labelbox?
The initial setup process was a bit complex, but once we got through it, it became much easier to use.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox allows us to handle large volumes of data efficiently, making it easier to train our models on diverse datasets. This capability significantly enhances our project's scalability.
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Nadine Weber
December 7, 2024
What do you like most about using Labelbox?
The quality assurance features make a significant difference in the reliability of the labeled data.
What do you dislike most about using Labelbox?
I encountered a few glitches while using the platform, which can be frustrating.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox helps to ensure that our datasets are not just large but also high-quality, which is crucial for our AI projects.
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Sofia Khan
November 28, 2024
What do you like most about using Labelbox?
The ability to customize workflows according to our needs is fantastic. It makes our process so much more efficient.
What do you dislike most about using Labelbox?
I wish there were more community resources or forums for support.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has helped us maintain high-quality standards in our datasets, which in turn improves the performance of our AI models.
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Ethan Brown
November 22, 2024
What do you like most about using Labelbox?
The platform's collaborative features are excellent. It allows our team to work together effectively on labeling tasks, enhancing overall productivity.
What do you dislike most about using Labelbox?
I wish there were more tutorials or documentation available for some of the advanced features, as it can be hard to figure them out on your own.
What problems does Labelbox help you solve, and how does this benefit you?
Labelbox has streamlined our workflow for data labeling, making it easier to manage and track our projects. This organization improves our team's efficiency.
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