In this post, we will discuss some of the strategies we have developed at Roboflow by iterating on hundreds of small object detection models.
Small objects as seen from above by drone in the public aerial maritime dataset
To improve your model’s performance on small objects, we recommend the following techniques:
If you prefer video, I have also recorded a discussion of this post
Check out AP_S, AP_M, AP_L for state of the art models. Small objects are hard! (cite)
In EfficientDet for example, AP on small objects is only 12%, held up against an AP of 51% for large objects. That is almost a five fold difference!
So why is detecting small objects so hard?
It all comes down to the model. Object detection models form features by aggregating pixels in convolutional layers.
Explains how to find ulimit values of currently running process or given user account under Linux using the 'ulimit -a' builtin command.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
MEAN Stack Tutorial MongoDB ExpressJS AngularJS NodeJS - We are going to build a full stack Todo App using the MEAN (MongoDB, ExpressJS, AngularJS and NodeJS). This is the last part of three-post series tutorial.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
In this post, we will learn to enable a robot named Vector to detect and recognize a large number of objects. Vector is a cute robot, who can be your companion, and is powered by AI.