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Libraries like Ultralytics had a great impact on deep learning, specifically object detection. Even if someone doesn’t have any knowledge about computer vision, they can…
SAM3 is just announced, and everybody is talking about it. But what is this hype all about? As you probably know from before, all the…
→ An article explaining Grounding DINO and how to detect objects with text prompts. I have so many articles about closed-set object detection, and most…
→ Step-by-step guide for training DETR(Detection Transformer) object detection models in PyTorch with any dataset. When it comes to object detection, there are popular models…
→ Article explaining DINOv3 and demonstrating how to create similarity maps using cosine similarity formula. Just look around. You probably see a door, window, bookcase,…
→ Article about explaining CLIP and demonstrating image classification using CLIP models. I normally like to write an introduction paragraph about the article, but not…
→ Article about how to segment objects using the pretrained promptable SAM2 segmentation models on videos. Segment Anything (SAM) is a promptable segmentation model that…
Before starting to learn deep learning, I checked Reddit for choosing between PyTorch and TensorFlow, and I saw the funniest thing ever. Two people were…
→ Step-by-step guide for training custom Vision Transformer image classification models in PyTorch. Until recently, CNNs(Convolutional Neural Networks) were the best option for most computer…
→ Article about running any deep learning model with ONNX Runtime such as YOLO, Faster R-CNN, ResNet, and more. There are different libraries and frameworks…
