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Articles tagged with #deep-learning
Introduction In this project, I'm participating in the "Advancing Bird Detection and Classification in Hand-Held Airborne Imagery" initiative. The primary goals are to refine and optimize the DeepForest model for accurate bird detection and classific...
Introduction The rapid evolution of artificial intelligence (AI) has introduced us to groundbreaking technologies that are reshaping industries and redefining what's possible. Among these innovations, Large Language Models (LLMs) and generative AI st...
Introduction After successfully completing my first project on bird detection, I embarked on a new adventure in my GSoC journey—cattle detection from drone images. This project, though different in scope, posed its own set of challenges and learning ...
Introduction Over the past two weeks, I've made significant strides in improving the data quality and handling class imbalance in our object detection project. Here's a detailed look at what I've achieved and learned. New Data and Class Imbalance My ...
Introduction Hello everyone! Welcome to my third blog post where I share my journey and learnings from the last two weeks in the Google Summer of Code (GSoC) program. It has been an exciting period filled with significant progress and valuable experi...
In this blog, I will walk you through the process using pretrained model ( YOLOv8 ) on your data to detect birds from aerial images. I'll explain how I used YOLOv8 model, starting with data preparation and moving through model training and hyperparam...
