In the realm of machine learning, image classification involves training a model to categorize images into predefined classes or labels. This process entails feeding a model with a dataset of labeled images, allowing it to learn to recognize distinctive features and patterns associated with each class. Conventional Neural Network models such as ResNet, VGG, Inception, MobileNet, and EfficientNet are commonly employed for this task due to their ability to automatically learn hierarchical representations of images. During training, the model adjusts its parameters to minimize the difference between predicted and actual labels, thus improving its accuracy in classifying unseen images. Once trained, the model can be deployed to classify new images, making it essential in various applications that need categorization of data.
At our company, we pride ourselves on being the premier choice for image labeling services to facilitate the training of image classification models. Our dedication to excellence and commitment to quality ensure that every labeled image we provide contributes significantly to the success of your machine learning projects. With a team of experienced annotators and quality assurance specialists, we guarantee accurate and consistent annotations that meet the highest industry standards. Moreover, our streamlined processes and efficient workflows allow us to offer competitive pricing without compromising on the quality of our services. Whether you’re a small startup or a large enterprise, we tailor our labeling solutions to suit your specific needs and budget. By choosing us, you’re not just getting a labeling service; you’re partnering with a trusted ally in your quest for superior machine learning outcomes.
- We accommodate both image and video formats. For images, each individual image constitutes a single label, while for videos, each frame is treated as a distinct label.
- Streamlining the process, we eliminate the need for a specific folder structure on your end. Our internal systems efficiently manage all organizational aspects.
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Transparent Pricing Structure
We follow a clear pricing structure for our image classification annotation services. Here’s a breakdown of the key pricing structure:
- Fixed Fee for Small Batches: Up to 10,000 annotations cost a flat fee of $100 per batch, regardless of the number of images within that batch.
- Per-Annotation Pricing for Larger Batches: For batches beyond 10000 annotations, you pay $0.01 per annotation.
To initiate work, you prepay a portion of the total cost based on the batch size, tiered upfront payments are as follow:
- $100 for batches between 10,000 and 50,000 annotations.
- $500 for batches between 50,000 and 200,000 annotations.
- $2,000 for batches between 200,000 and 400,000 annotations.
- 25% upfront payment for batches exceeding 400,000 annotations.
After the annotations are complete, you pay the remaining balance based on the per-annotation cost.
Understanding Project Complexity
We understand that for some projects, especially those involving complex or subjective image classification tasks, accurately estimating the number of annotations upfront can be challenging. We offer flexibility in such cases:.
- Estimated Annotation Range: If you're unsure of the exact number of annotations needed, you can provide an estimated range. We'll quote based on that range with a buffer to account for potential variations.
- Pilot Batch Option: For highly complex projects, consider a pilot batch of a few thousand images. This allows us to assess the annotation difficulty and provide a more accurate quote for the entire project.
- Flexible Payment Adjustments: During the annotation process, if the actual number of annotations deviates significantly from the initial estimate, we can adjust the final cost accordingly.
Transparency and Communication
To ensure a smooth and collaborative process we aim for clear communication, centralized information management, and the flexibility to adapt to the specific needs of your project:
- Ticketing System: We recommend creating a ticket in our system to centralize all communication regarding your project. Through the ticket system, we can easily track progress reports, answer your specific questions and requirements, and discuss any adjustments needed throughout the annotation process.
- Open Communication: We believe in open communication. We'll keep you informed about the annotation progress through the ticketing system and proactively reach out if any potential adjustments to the initial estimate are necessary due to project complexity.