Kili
By Kili Technology
Integration Capabilities: Seamless integration with major cloud storage providers and support for API and Python SDK are appreciated by users who need to connect their ML stack and automate their MLOps infrastructure.
Collaboration Tools: Kili's ability to facilitate collaboration between teams and external annotation companies is frequently mentioned as a significant advantage. The platform's role and permission management features are also well-received.
AI-Powered Features: The use of AI for pre-annotations and real-time quality control is highly valued. These features help speed up the annotation process and ensure high-quality datasets.
Versatility: Kili supports a wide range of data types, including images, videos, PDFs, and text. This versatility allows users to handle various annotation tasks within a single platform.
User-Friendly Interface: Many users appreciate Kili Technology's intuitive and configurable interfaces, which make it easy to start annotating data quickly. The platform's design is praised for being accessible to both technical and non-technical users.
Cost: For smaller teams or individual users, the cost of the Grow and Enterprise plans can be a concern. Some users feel that the pricing could be more competitive, especially for startups or small businesses.
Customization Limitations: While Kili offers extensive customization options, some users feel that certain advanced customization features could be more user-friendly or better documented.
Performance Issues: A few users have reported occasional performance issues, such as slow loading times or lag when handling large datasets. These issues can impact productivity, although they are not universally experienced.
Learning Curve: Some users mention that there is a learning curve when first using the platform, especially for those who are new to data annotation tools. However, this is often mitigated by the available documentation and support.
