Frequently Asked Questions

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Deep-label.com is a leading annotation company that specializes in providing high-quality annotation services for machine learning applications. We cater to diverse industries, including computer vision, natural language processing, robotics, and more.

At DeepLabel, we take pride in our skilled team of annotation experts who meticulously annotate data to ensure precision and consistency. We combine human intelligence with the latest annotation tools and techniques to deliver superior results for your AI projects.

At Deep-label.com, our annotation services are priced based on several factors to ensure fair and tailored pricing for our clients. The pricing is influenced by the complexity of the annotation task, the volume of data to be annotated, and the turnaround time required. Generally per-image annotations are priced between $0.40 - $2.00 per image.

We offer various pricing models, including per-image pricing, tiered pricing based on annotation complexity, subscription packages for ongoing projects, and custom pricing for larger or specialized projects. 

At Deep-label.com, we offer two main types of deliverables for your annotated data:

1. Dataset of Binary Images: We can provide you with a complete dataset of annotated binary images. Each image in the dataset will be accompanied by the corresponding annotations directly embedded within the image. This format is ideal for seamless integration into machine learning pipelines, making it easy for AI models to process the data efficiently.
2. Directory of JSON Files: Alternatively, we can deliver the annotations in a structured format as a directory of JSON files. Each JSON file will correspond to a specific input image and contain detailed annotations as per your requirements. This format provides clear and organized annotation information, facilitating easy data analysis and manipulation.

You may choose the delivery format that best suits your project's needs and preferences. Our team ensures that the annotations are accurately represented in the chosen format, enabling you to effectively train and fine-tune your machine learning models with the annotated data.

At Deep-label.com, we understand the importance of data security and the need for some clients to keep their data in-house. We offer in-house integration services, allowing our expert annotation team to work directly on your preferred platform within your secure environment.

Our in-house integration process is seamless and flexible. We collaborate closely with your team to establish a secure connection between our annotation experts and your platform, ensuring that data remains within your organization's infrastructure throughout the annotation process.

To learn more about our in-house integration capabilities and discuss your specific requirements, please reach out to our team, and we'll be delighted to assist you.