Tag: #object-detection

Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts

Analyzing SOTA Segmentation and Detection Models — The Lineage of SAM, DETR, and YOLO
A walk through the SOTA lineage of object detection and image segmentation. We trace detection from two-stage R-CNN to one-stage YOLO/SSD and transformer-based DETR, cover semantic, instance, and panoptic segmentation, a
2026-06-30 · 20 min read #ai-papers #computer-vision #object-detection #segmentation #sam
The Complete torchvision Guide — From Image Classification to Object Detection and Segmentation
From torchvision transforms v2 and pretrained models (ResNet to ViT) to datasets, Object Detection (Faster R-CNN, YOLO), Segmentation, and hands-on fine-tuning — master computer vision in practice with PyTorch.
2026-03-02 · 8 min read #ai-platform #pytorch #torchvision #computer-vision #cnn

Analyzing SOTA Segmentation and Detection Models — The Lineage of SAM, DETR, and YOLO