Hi 👋 , I'm Piotr
ML Growth Engineer @roboflow
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latest youtube videos
Accelerate Image Annotation with SAM and Grounding DINO
Created: 20 Apr 2023 | Updated: 20 Apr 2023
Discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model (SAM). Learn how to convert object detection datasets into instance segmentation datasets, and see the potential of using these models to automatically annotate your datasets for real-time detectors like YOLOv8...
SAM - Segment Anything Model by Meta AI: Complete Guide
Created: 11 Apr 2023 | Updated: 11 Apr 2023
Discover the incredible potential of Meta AI's Segment Anything Model (SAM)! We dive into SAM, an efficient and promptable model for image segmentation, which has revolutionized computer vision tasks. With over 1 billion masks on 11M licensed and privacy-respecting images, SAM's zero-shot performance is often competitive with or even superior to prior fully supervised results...
open source
| make sense | yolov5.js |
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| Free to use online tool for labelling photos in small Computer Vision projects. | Effortless YOLOv5 JavaScript deployment. Enrich your website with Computer Vision. |
blog posts
Deep Dive into Math Behind Deep Networks
Views: 193K | Reads: 68K
Nowadays, having at our disposal many high-level, specialized libraries and frameworks such as Keras, TensorFlow or PyTorch, we do not need to constantly worry about the size of our weights matrices or remembers formula for the derivative of activation function we decided to use. Often all we need to create a neural network, even one with a very complicated structure, is a few imports and a few lines of code...
Let’s code a Neural Network in plain NumPy
Views: 261K | Reads: 78K
Not so long ago I published an article, explaining — in a simple way — how neural nets work. However, it was highly theoretical post, dedicated primarily to math, which is the source of NN superpower. From the beginning I was planning to follow-up this topic in a more practical way. This time we will try to utilize our knowledge and build a fully operational neural network using only NumPy...
