Screenshot from 2024-04-13 07-08-46

In machine learning, object tracking takes the treasure hunt a step further. It’s not just about finding the treasure (object) in a single image, but following its trail across a sequence of images, like a video. Imagine our treasure hunter isn’t just given a map, but must track the pirate captain across the entire island, anticipating their next move. Object tracking models are trained on video datasets where objects are labelled in each frame. Deep learning models like SORT (Simple Online and Realtime Tracking) and Kalman Filters excel at this task, analyzing motion patterns and predicting the object’s location in subsequent frames. After training, the model can track objects in unseen videos, understanding their movement and path. This skill is crucial for tasks like video surveillance where monitoring object movement is essential, or autonomous vehicles that need to predict the trajectory of surrounding objects.

Move beyond detection with our industry-leading object tracking solutions. We empower your AI with the ability to not just identify objects, but follow their movement across video frames. Our expert annotators meticulously hand-label object trajectories, providing the foundation for robust tracking algorithms. Rigorous quality control ensures every tracked path adheres to the strictest standards. Furthermore, our efficient workflows deliver exceptional results at competitive rates, making us the ideal partner for projects of all sizes. Whether you’re a startup or an enterprise, we customize solutions to your specific needs. By choosing us, you gain more than an annotation service; you gain a trusted partner in achieving superior object tracking performance.

Transparent Pricing Structure

We  follow a clear pricing structure for our object tracking 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 object tracking tasks, accurately estimating the number of annotations upfront can be challenging. We offer flexibility in such cases:.

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:

Annotation Package - Option 1 (Range 0 to 10k)
For 0 to 10k annotations of object tracking 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 object tracking 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 object tracking 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 object tracking 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 object tracking 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.

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