AI Project: Video Captioning with Hugging Face (Microsoft GIT)
We’ve done Video Classification (detecting “Basketball”). But that’s just a label. Video Captioning generates a full sentence describing the scene, like “A man playing basketball…

We’ve done Video Classification (detecting “Basketball”). But that’s just a label. Video Captioning generates a full sentence describing the scene, like “A man playing basketball…

We’ve conquered 2D images and video. Now, let’s enter the third dimension. If you’re interested in how Text to 3D Python works, Shap-E is a…

We’ve classified text, audio, and images. Now, let’s classify Video. In this article, we’ll explore Hugging Face Video Classification and how it can be applied…

We’ve used Text Embeddings to search documents. Now, let’s use Image Embeddings to search photos. we’ll walk through how you can perform a Reverse Image…

Removing backgrounds is tedious manual work. In 2026, we let AI do it. We will use RMBG-1.4 (Remove Background), a state-of-the-art model available on Hugging…

Standard Stable Diffusion takes 20-50 “steps” to denoise an image, which takes seconds. SDXL Turbo Python is a breakthrough model that generates high-quality images in…

Standard Stable Diffusion is great, but sometimes it struggles to hold a specific style consistently. If you want to unlock even more control and versatility,…

In Document QA Project, we used LayoutLM to read documents. But that required a separate OCR step to find the text first. Now, Hugging Face…

We’ve generated images from scratch, but what about fixing old ones? Hugging Face Image Upscaling offers a powerful solution for this. Super Resolution is the…

We’ve taught AI to classify objects and segment pixels. Now, let’s explore Hugging Face Depth Estimation and teach AI to understand distance. Depth Estimation models…