Introduces Label-Studio, an open-source tool for annotating text, image, audio, and video data for AI/ML projects, highlighting its ease of use and features.
A guide on creating effective data labeling guidelines for machine learning, covering principles like Why, What, and How, with examples from Google and Bing.
Explains data annotation, its importance for training machine learning models, and details common text and image annotation types.
Explores video segmentation techniques like rotoscoping and green screens used in Hollywood VFX, comparing them to modern AI models like Deeplab v3+.
A data-driven blog's thank you post, sharing visitor stats, popular posts on ML topics, and future plans for guest contributions.
A curated list of top data annotation companies worldwide, grouped by annotation type, focusing on services for computer vision, NLP, and audio data.
A curated list of open-source and free tools for data annotation across computer vision, NLP, audio, and other domains, including image and video labeling.
A personal blog about machine learning, data annotation projects, and professional experiences in deep learning and AI product development.
