Pixel Segmentation

In machine learning, pixel segmentation goes beyond the treasure chest of bbox detection. Instead of just marking the general location of objects, it delves deeper to create a detailed map of each object, pixel by pixel. Imagine a treasure map where each piece of gold, diamond, or jewel is meticulously outlined. That’s the power of pixel segmentation. The model is trained on a treasure map dataset, where each image has a corresponding “segmentation map” highlighting every object’s individual pixels. Deep learning models like U-Net, Mask RCNN and DeepLab are adept at this fine-grained analysis. After training, the model can meticulously segment objects in unseen images, revealing intricate details. This skill is invaluable in tasks like self-driving cars where understanding the shape and size of objects precisely is crucial, or medical imaging where segmenting specific tissues or organs is essential for diagnosis.

Unleash the power of pixel-perfect image analysis with our industry-leading pixel segmentation services. We supercharge your computer vision models with meticulously labeled segmentation masks, enabling superior object recognition and fine-grained detail extraction. Our team of experts meticulously hand-labels each pixel, ensuring precise class allocation for every image element. Rigorous quality control guarantees that every mask adheres to the strictest accuracy standards. Furthermore, our streamlined workflows deliver exceptional results at competitive rates, making us the ideal partner for all your segmentation needs. Whether you’re a pioneering startup or a global enterprise, we tailor our solutions to your specific project requirements. By partnering with us, you gain more than just an annotation service; you gain a trusted advisor to unlock the full potential of pixel segmentation and achieve groundbreaking results.

We accommodate both image and video formats for pixel segmentation. In images, we aim to classify each individual pixel within the frame, assigning it a specific class label based on the content it represents. For videos, pixel-wise classification is applied to every frame, effectively segmenting and labeling objects throughout the video.
Streamlining the process, we eliminate the need for a specific folder structure on your end. Our internal systems efficiently manage all organizational aspects.

Samples

2 Videos

Segmentation Sample Flower

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Segmentation Sample Lane

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Transparent Pricing Structure

We follow a clear pricing structure for our pixel segmentation annotation services. Here’s a breakdown of the key pricing structure:

To initiate work, you prepay a portion of the total cost based on the batch size, tiered upfront payments are as follow:

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 pixel segmentation 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.

Annotation Package - Option 1 (Range 0 to 10k)

For 0 to 10k annotations of pixel segmentation there is no per annotation option, no matter the size, 100$ should be paid in full for each batch that you order.

Annotation Package - Option 2 (Range 10k to 50k)

For 10k to 50k annotations of pixel segmentation we use 0.01 per annotation option, at first 100$ should be paid before we initiate the work. Remaining should be paid after the work is done.

Annotation Package - Option 3 (Range 50k to 200k)

For 50k to 200k annotations of pixel segmentation we use 0.01 per annotation option, at first 500$ should be paid before we initiate the work. Remaining should be paid after the work is done.

Annotation Package - Option 4 (Range 200k to 400k)

For 200k to 400k annotations of pixel segmentation we use 0.01 per annotation option, at first 2000$ should be paid before we initiate the work. Remaining should be paid after the work is done.

Annotation Package - Option 5 (Range more than 400k)

For more than 400k annotations of pixel segmentation we use 0.01 per annotation option, in general you will pay approximately 25% beforehand and after the work is done you will pay the remaining.

Annotation Package - Option 1

$100.00

Annotation Package - Option 2

$100.00

Annotation Package - Option 3

$500.00

Annotation Package - Option 4

$1000.00

Annotation Package - Option 5

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About Us

Whether you’re looking for standard labeling services or customizable annotations, our team is here to help. We offer a range of services that cater to businesses of all sizes, and we’re dedicated to providing quality results that are flexible, timely, efficient, and cost-effective.

Image Classification

Learn more about the affordable and transparent pricing plans for our image classification data annotation.

BBox Detection

Learn more about the affordable and transparent pricing plans for our bounding box object detection services.