Book Content
chapters • 10h36m total length
1. An Introduction to Detectron2 and Computer Vision Tasks
2. Developing Computer Vision Applications Using Existing Detectron2 Models
3. Data Preparation for Object Detection Applications
4. The Architecture of the Object Detection Model in Detectron2
5. Training Custom Object Detection Models
6. Inspecting Training Results and Fine-Tuning Detectron2's Solver
7. Fine-Tuning Object Detection Models
8. Image Data Augmentation Techniques
9. Applying Train-Time and Test-Time Image Augmentations
10. Training Instance Segmentation Models
11. Fine-Tuning Instance Segmentation Models
12. Deploying Detectron2 Models into Server Environments
13. Deploying Detectron2 models into Browsers and Mobile Environments
