Data Annotation Tools

Data annotation tools are platforms used to label and structure raw data (images, text, audio, video) so it can be used to train AI models. These tools provide the "ground truth" that teaches AI systems what they are looking at or reading. Examples Bounding Box Labeling: Manually drawing boxes around cars in images to train self-driving cars. Sentiment Labeling: Tagging customer reviews as "Positive," "Negative," or "Neutral" to train sentiment analysis models. Segmentation Masks: Pixel-perfect coloring of objects (like tumors in medical scans) for precise computer vision training. RLHF Platforms: Interfaces for humans to rank AI responses, teaching the model which answer is better.

6 tools