Inference Using SSD Weights
Hello and welcome! This week, I took a deeper dive into last week's model, did some additional training, and let me just say—the inference code made predictions, and they’re genuinely impressive!
Hello and welcome! This week, I took a deeper dive into last week's model, did some additional training, and let me just say—the inference code made predictions, and they’re genuinely impressive!
Hello and welcome! This week, I focused on deepening my understanding of last week’s model by creating inference code and making further improvements. The final results are looking even more promising than before!
Hello and welcome! This week, I completed the model and began the debugging process, which involved making numerous changes across the entire system. After that, I kicked off the first full training run, made some adjustments based on the results, and retrained the model. So far, the results are looking very promising!
Hello, and welcome! This week, I made significant progress on the SSD object detection model, nearly completing it by implementing the loss function, training loop, loss plotting, and model saving.
Hello, and welcome! In this post, I'll explain the SSD architecture for object detection, including an overview of the model's structure and which parts have already been implemented.