Pricing score

Watchful Pricing Profile

Watchful is the AI accelerator for NLP and Large Language Models (LLMs). We make it easy to develop and fine-tune AI systems by focusing on the most important part: the data. Contact us today for a demo of Watchful.

HQ Location

San Francisco, California, USA

Category:

Key Takeaways

Video Annotation

Annotate video frames or object tracking across frames, making it ideal for dynamic object detection and event recognition in video datasets. Track objects through multiple frames with automatic tracking capabilities, which can be especially useful for real-time applications like surveillance.

Custom Labeling Schemes

Watchful allows for the creation of custom labeling schemes to suit the specific needs of your project. Labels can be adjusted based on the type of objects or categories that need to be identified.

Export and Integration

Watchful supports the export of labeled data in common formats like COCO, YOLO, and Pascal VOC, ensuring easy integration with machine learning frameworks like TensorFlow, PyTorch, and Keras. You can also export your data in formats compatible with other annotation platforms or tools, making it adaptable to various workflows.

Product Overview

Watchful is an AI-powered data labeling and annotation platform designed to accelerate machine learning workflows. By utilizing AI-assisted tools, it helps businesses and developers efficiently annotate data for computer vision tasks, enabling fast and accurate dataset creation.

Watchful’s key offering is the automated annotation of images and videos, which can significantly reduce the time and cost typically associated with manual annotation.

INSIGHTS

Our insights about Watchful pricing

May be expensive for small companies

Offers custom quotes

Pricing information is not publicly available

Available Pricing Models

How much does Watchful cost?

Watchful 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 Watchful directly through their website or speak with a sales representative.

What users say about Watchful pricing

Anand K.

Watchful is very helpful in AI acceleration for NLP and LLM. Needs more fine-tuning and the accuracy of AI recommendation needs to increase.

Anand K.

Watchful is very helpful in AI acceleration for NLP and LLM. Needs more fine-tuning and the accuracy of AI recommendation needs to increase.

Watchful Pricing Rating

AI-Powered Automation: 4.8/5

Watchful utilizes machine learning models to automate the annotation process. This helps users by suggesting initial labels for objects, reducing manual effort and enhancing annotation speed. AI-assisted labeling can be used for bounding boxes, segmentation, and keypoints in image and video datasets.

Collaboration Tools: 4.7/5

Watchful supports team collaboration, allowing multiple users to work together on the same project. Users can assign roles such as annotators, reviewers, or managers to streamline workflows. Version control and audit trails help track changes and maintain project transparency.

Real-Time Feedback and Monitoring: 4.9/5

The platform provides tools to give real-time feedback to annotators, improving the consistency and quality of annotations. Users can monitor the progress of their annotation projects through dashboards, ensuring deadlines are met and quality standards are maintained.

FAQ on Watchful Pricing

What types of data can I annotate with Watchful?

Watchful supports the annotation of various data types, including:

- Images: For object detection, classification, and segmentation tasks.
- Videos: For frame-by-frame labeling and object tracking across multiple frames.
- Audio: For speech recognition and event detection (though this is typically less emphasized than image/video tasks).
- Text: For named entity recognition (NER), sentiment analysis, and other NLP-related tasks.

How does AI assistance work in Watchful?

Watchful leverages AI-powered automation to help accelerate the annotation process:

- Object detection: AI models automatically detect and suggest bounding boxes or segmentation areas.
- Tracking: For video tasks, Watchful uses AI to automatically track objects across frames, reducing manual labeling efforts.
- Segmentation & Keypoints: The AI suggests initial annotations for pixel-level segmentation or keypoint labeling, which annotators can refine.

Can multiple people work on a project in Watchful?

Yes, Watchful supports team collaboration. You can assign roles like annotator, reviewer, or manager to different users, making it easier to manage and scale projects. Multiple users can work on the same dataset simultaneously, and progress can be tracked in real-time.

Can I export my labeled data from Watchful?

Yes, Watchful allows you to export labeled data in a variety of formats that are compatible with popular machine learning frameworks. Supported formats include:

- COCO (for object detection and segmentation tasks)
- YOLO (for object detection)
- Pascal VOC (for computer vision projects)
- CSV/JSON (for structured data or text-related annotations) These formats can be used directly in frameworks like TensorFlow, PyTorch, or other ML platforms.