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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…
SAM3 is just announced, and everybody is talking about it. But what is this hype all about? As you probably know…
→ An article explaining Grounding DINO and how to detect objects with text prompts. I have so many articles about closed-set…
→ Step-by-step guide for training DETR(Detection Transformer) object detection models in PyTorch with any dataset. When it comes to object detection,…
→ Article explaining DINOv3 and demonstrating how to create similarity maps using cosine similarity formula. Just look around. You probably see…
→ Article about explaining CLIP and demonstrating image classification using CLIP models. I normally like to write an introduction paragraph about…
→ Article about how to segment objects using the pretrained promptable SAM2 segmentation models on videos. Segment Anything (SAM) is a…
Before starting to learn deep learning, I checked Reddit for choosing between PyTorch and TensorFlow, and I saw the funniest thing…
→ Article about tracking objects with YOLO and tracking algorithms (ByteTrack & BoT-SORT) in Python. Object tracking is different from object…
→ Step-by-step guide for training custom Vision Transformer image classification models in PyTorch. Until recently, CNNs(Convolutional Neural Networks) were the best…
