Pricing score
TaQadam develops imagery solutions for market intelligence, monitoring and measuring of business risks and vulnerabilities.
Key Takeaways
AI-Assisted Labeling
TaQadam leverages machine learning models to automate the initial labeling process, which can help speed up the annotation of large datasets. AI automatically detects objects, generates bounding boxes, and suggests labels.
Human-in-the-Loop
Human reviewers are involved in the process to verify and refine AI-generated labels. This ensures the annotations are precise and accurate, especially for complex or nuanced images.
Bounding Boxes
For detecting and labeling specific objects within an image (commonly used for object detection tasks).
Product Overview
TaQadam is an image annotation platform designed to support machine learning and computer vision tasks by providing high-quality, accurate data annotation services.
It combines automation with human-in-the-loop workflows, allowing businesses and developers to create custom datasets for training AI models efficiently. TaQadam’s focus is on providing high-quality labels for images, enabling fast and scalable annotation processes while ensuring data precision.
Our insights about TaQadam pricing
May be expensive for small companies
Offers custom quotes
Pricing information is not publicly available
How much does TaQadam cost?
TaQadam does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact TaQadam directly through their website or speak with a sales representative.
What users say about TaQadam pricing
Verified User in Information Technology and Services
The pricing is something which was very concerning for us. Since we have to somewhat arround 500 dollars for thousand odd images, we really have to careful to not to tag anything which is a waste. Maybe you guys can come up some startups friendly plan.
Verified User in Information Technology and Services
The pricing is something which was very concerning for us. Since we have to somewhat arround 500 dollars for thousand odd images, we really have to careful to not to tag anything which is a waste. Maybe you guys can come up some startups friendly plan.
FAQ on TaQadam Pricing
What types of data can be annotated using TaQadam?
TaQadam supports the annotation of various data types, including:
- Images: Annotating objects with bounding boxes, polygons, segmentation masks, keypoints, and more.
- Videos: Frame-by-frame annotation and object tracking for event detection and action recognition.
- 3D Data: Annotating LiDAR point clouds and other 3D data for autonomous driving and robotics applications.
How does TaQadam ensure the quality of annotations?
TaQadam uses a human-in-the-loop (HITL) approach to ensure high-quality annotations. While AI models generate the initial annotations, experienced human annotators review and refine them, ensuring accuracy. Additionally, the platform offers tools for real-time quality monitoring and consistency checks to maintain annotation standards.
Can TaQadam handle large datasets?
Yes, TaQadam is designed to handle large-scale data annotation projects. It can manage millions of images and videos, making it ideal for enterprise-level machine learning initiatives. The platform also supports batch processing, allowing for efficient annotation of large datasets in a short time.
Can TaQadam integrate with other machine learning tools?
Yes, TaQadam offers seamless integration with machine learning tools and frameworks via APIs. The platform supports common data formats such as COCO, YOLO, Pascal VOC, and TFRecord, which can be directly used in popular frameworks like TensorFlow, PyTorch, and Keras for model training.
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