October 14, 2024

A Guided Exploration of Florence-2’s Zero-Shot Capabilities: Captioning, Object Detection, Segmentation and OCR. Lihi Gur Arie, PhD · Follow Published in Towards Data Science · 7 min read · 8 hours ago — Image annotations by Author. Original image from Pexels. Introduction In recent years, the field of computer vision has witnessed the rise of foundation models that enable image annotation without the need for training custom models. We’ve seen models like CLIP [2] for

Generate new images based on existing images using diffusion models. Youness Mansar · Follow Published in Towards Data Science · 6 min read · 9 hours ago — Original image source: Photo by Sven Mieke on Unsplash / Transformed image: Flux.1 with prompt “A picture of a Tiger” This post guides you through generating new images based on existing ones and textual prompts. This technique, presented in a paper called SDEdit: Guided Image Synthesis and

These 4 advanced optimizers will open your mind. Benjamin Bodner · Follow Published in Towards Data Science · 10 min read · 9 hours ago — Source: image by author If you’ve been working with deep learning for a while, you’re probably well-acquainted with the usual optimizers in PyTorch — SGD, Adam, maybe even AdamW. These are some of the go-to tools in every ML engineer’s toolkit. But what if I told you that there

Discover how LDA helps identify critical data features Ingo Nowitzky · Follow Published in Towards Data Science · 12 min read · 2 days ago — Classification of LDA within AI and ML Methods | image by author This article aims to explore Linear Discriminant Analysis (LDA), focusing on its core ideas, its mathematical implementation in code, and a practical example from manufacturing.I hope you’re on board. Let’s get started! Who works with industrial data