Object Detection

Fine-Tuning Grounding DINO: Open-Vocabulary Object Detection

Object detection has traditionally been a closed set problem you train on a fixed list of classes and cannot recognize new ones Grounding DINO breaks this mold becoming an open

Object Detection

RF-DETR by Roboflow: Speed Meets Accuracy in Object Detection

Object detection has come a long way especially with the rise of transformer based models RF DETR developed by Roboflow is one such model that offers both speed and accuracy

Computer Vision, Object Detection, Transformer Neural Networks

YOLO11 on Raspberry Pi: Optimizing Object Detection for Edge Devices

Imagine you have multiple warehouses in different places where you don 8217 t have time to monitor everything at a time and you can 8217 t afford a lot of

Computer Vision, Edge Devices, Object Detection, Object Tracking, Raspberry Pi, YOLO

Fine-Tuning YOLOv12: Comparison with YOLOv11 & Darknet-Based YOLOv7

Object detection has undergone tremendous advancements with models like YOLOv12 YOLOv11 and Darknet Based YOLOv7 leading the way in real time detection While these models perform exceptionally well on general

Computer Vision, Object Detection, YOLO

FineTuning RetinaNet for Wildlife Detection with PyTorch: A Step-by-Step Tutorial

A comprehensive step by step guide on fine tuning RetinaNet using PyTorch to achieve 79 accuracy on wildlife detection tasks In this tutorial we dive deep into RetinaNet s architecture

Computer Vision, Deep Learning, Object Detection

YOLOv12: Object Detection with Attention

Real time object detection has become essential for many practical applications and the YOLO You Only Look Once series by Ultralytics has always been a state of the art model

Computer Vision, Object Detection, YOLO