Object Detection
In this article, we explore several Re-ID models for tracking along with object detection models from Torchvision to create a small modular codebase.
This blogpost post explores different loss functions in object detection which include GIoU, IoU, and CIoU loss functions.
This research article dives into the intricacies of slicing aided hyper inference technique for small object detection.
In this post, we will learn how to perform object detection with TensorFlow Hub pre-trained models. TensorFlow Hub is a library and platform designed for sharing, discovering, and reusing pre-trained
This article shows the steps for deploying a deep learning model on HuggingFace Spaces using Gradio.
In this article, we train YOLOv8 on a custom pothole detection dataset using the Ultralytics YOLO package.
In this article, we explore the Ultralytics YOLOv8 models for object detection, instance segmentation, and image classification.
In this article, we explore the YOLOv5 instance segmentation architecture and run inference on several videos and images.
This article explains several performance comparison between different YOLO object detection models. These include YOLOv5, YOLOv6, and YOLOv7.
Explaining and understanding the inner workings of FairMOT Tracker. Checkout the intermediate outputs, and compare the results with DeepSort Tracker
This article explains the training pipeline for fine tuning of the YOLOv7 object detection model on a custom pothole detection dataset
In this blog post, we will be training YOLOv4 models on a custom pothole detection dataset using the Darknet framework and carry out inference using the trained models.
