AI image data training
The project involved annotating a large dataset for training AI models used in image recognition. Specific tasks included bounding box annotation, semantic segmentation, and keypoint labeling for over 10,000 images. The project was completed by a 5-person team within 2 months. We ensured high-quality results by conducting regular quality control checks, adhering to clear labeling guidelines, and following strict data privacy and security measures.