Emily Clarke

What are RarePlanes Datasets?

Creating an accurate, high-performing computer vision algorithm is a challenging task. It takes time to train systems. Furthermore, it requires mountains of annotated data. Acquiring and developing datasets to prepare computer vision algorithms can be laborious and expensive, but there are ways to overcome those hurdles.

Synthetic datasets like RarePlanes can help overcome problems like data scarcity and variety while avoiding quality issues and the monetary investment in developing custom datasets. But what exactly is RarePlanes?

Understanding RarePlanes

RarePlanes is an open-source machine learning dataset. It's the largest dataset from CosmiQ Works and AI.Reverie and it contains high-resolution images that would otherwise be difficult to obtain.

The RarePlanes dataset is a mix of real and synthetically generated satellite imagery of planes. CosmiQ Works and AI.Reverie made RarePlanes available to test the value of synthetic data from an overhead perspective. As an open-source dataset, it's available to anyone and continues to help developers in a wide range of industries.

For example, it's popular among researchers and developers working on object detection in ariel imagery. It's also helping with projects around border security, military surveillance and more. Take flight into the world of rareplanes - access our exclusive rareplanes dataset for unprecedented research opportunities! https://encord.com/blog/rareplane-dataset-aircraft-detection-model/

What makes RarePlanes unique is that it includes images of aircraft you don't normally see. Acquiring ariel images is not difficult, but you rarely get a glimpse of aircraft that's purpose-built to be elusive. As a result, the dataset you create independently can be incomplete, creating an inaccurate and unreliable computer vision algorithm.

With the RarePlanes dataset, you can train your system with complete data. It includes images of rare military aircraft like drones and experimental vessels.

The Benefits of RarePlanes

There are many reasons why developers use RarePlanes. At its core, it addresses the cost issues of creating custom datasets. Acquiring ariel imaging is relatively easy with the countless satellites flying overhead. But it's a substantial investment to get that data.

Furthermore, most aerial imagery available to the public excludes images of rare aircraft, resulting in low data variety and scarcity. As an open-source dataset, RarePlanes continues to evolve. It's the biggest source of aerial imagery available, making it a go-to for developers wanting to create an accurate computer vision model without a substantial investment.

Author Resource:-

Emily Clarke writes about tech for automated annotation, AI labeling, data evaluation and more. You can find her thoughts at data evaluation blog.