Belajar YOLO

Belajar YOLO dari dasar hingga production-grade: pre-requisites & setup environment, pengenalan object detection, evolusi YOLO v1 → YOLO26, arsitektur backbone neck head, setup Ultralytics & inference pertama, multi-task detect segment classify, pose estimation & OBB, memilih model size nano s/d xl, dataset format YOLO & annotation, training dari scratch, fine-tuning pretrained model, evaluasi mAP & confusion matrix, data augmentation, layer freezing & transfer learning lanjutan, overfitting & catastrophic forgetting, hyperparameter tuning, tracking object, custom training loop & callbacks, export ONNX TensorRT CoreML & OpenVINO, edge deployment Jetson mobile CPU, serving production API & batch, optimasi quantization & half precision, zero-shot open-vocabulary detection, small object & hard case detection, perbandingan YOLO vs RF-DETR DETR RTMDet, MLOps untuk vision models, ekosistem & tren modern 2026, hingga roadmap karir dengan total 28 episode.