Content summary: Join us on an exhilarating journey through the world of computer vision as we delve deep into various tasks, annotation types, and the intricacies of both manual and AI-assisted labeling. Our focus will be on the powerful and versatile Computer Vision Annotation Tool (CVAT), an open-source marvel that's transforming how we handle image data. We'll navigate through the rich features of CVAT, shedding light on its practical applications and how its API can be leveraged for advanced projects.
Presenter: Shanshan Wang
Code/materials used in this video can be downloaded from GitHub:
231029_Image Annotation and Labeling.pdf; 231029_Image Annotation and Labeling.ipynb
https://github.com/DreamJarsAI/Apply-AI-like-a-Pro/tree/f125ff4d3e20511c599ac0543b8bda45924c0e7a/AI%20Interest%20Group%20Materials
Hashtags: #imageannotation #artificialintelligence #machinelearning #deeplearning #python #pythonprogramming #pythontutorial #aitutorial #coding #neuralnetworks #neuralnetwork #pytorch #computervision #nlp #naturallanguageprocessing #scikitlearn