Object Detection

IoU Loss Functions for Faster & More Accurate Object Detection

This blogpost post explores different loss functions in object detection which include GIoU IoU and CIoU loss functions

Computer Vision, Loss Function, Object Detection

Exploring SAHI: Slicing Aided Hyper Inference for Small Object Detection

This research article dives into the intricacies of slicing aided hyper inference technique for small object detection

Computer Vision, Image Processing, Object Detection

Train YOLO NAS on Custom Dataset

In this article we train the YOLO NAS model on a custom dataset evaluate it and run inference using the trained model

Deep Learning, Object Detection, YOLO

Train YOLOv8 Instance Segmentation on Custom Data

In this article we explore how to train the YOLOv8 instance segmentation models on custom data

Object Detection, PyTorch, Segmentation, YOLO

Meet YOLO-NAS: New YOLO Object Detection Model Beats YOLOv6 & YOLOv8

YOLO NAS is the new real time SOTA object detection model YOLO NAS models outperform YOLOv7 YOLOv8 YOLOv6 3 0 models in terms of mAP and inference latency

Computer Vision, Object Detection, PyTorch, YOLO