Data Breakfast 23.06.2021|Testing New Headset Image Recognition Techniques

--- The speaker tested a new headset and found some issues despite having newer protocols. They noted missing buttons for microphone control and uneven volume of their own voice. However, they expressed interest in new features and algorithms, but noted that some functions still lacked analogues. The conversation then shifted to image recognition and classification, including the use of sliding windows and neural networks. The speaker and their colleague discussed the challenges of training classifiers for different tasks, such as identifying objects in images. They also talked about the potential for using segmentation and activation maps to improve object detection. The conversation touched on the use of cascading classifiers and convolutional neural networks, and the importance of explaining these concepts to non-experts. The speaker briefly mentioned Python and the need for optimization on certain devices. They expressed curiosity about new features in a recent release and wondered if anyone had tested them yet. They mentioned the importance of backward compatibility and testing before rolling out new features.