Dataset

Getting Started with LabelMe - Computer Vision Annotation

In this post, we will walk through how to jumpstart your image annotation process using LabelMe, a free, open source labeling tool. Labeling images from the public aerial maritime dataset

The Train, Validation, Test Split and Why You Need It

At Roboflow, we often get asked, what is the train, validation, test split and why do I need it? The motivation is quite simple: you should separate you data into train, validation, and test splits to prevent your model from overfitting and to accurately evaluate your model. T

Tackling the Small Object Problem in Object Detection

Detecting small objects is one of the most challenging and important problems in computer vision. In this post, we will discuss some of the strategies we have developed at Roboflow

Introducing a Thermal Infrared Dataset for Object Detection

Computer vision is performed on a wide array of imaging data: photographs, screenshots, videos. Commonly, this data is captured in similar perception to how humans see – along the visible red,

Introducing an Improved Hard Hat Dataset for Computer Vision in Workplace Safety

In a given year, approximately 65,000 workers wearing hard hats incur head injuries in the workplace, of which over one thousand ultimately die. Workplace safety regulations exist to protect

Using Computer Vision to Fight Coronavirus (COVID-19)

As global coronavirus case numbers continue to climb, troubling stories of hospital shortages, deaths, and disrupted communities fill the news. Frankly, it can leave one feeling disempowered – especially when the

Introducing an Improved PlantDoc Dataset for Plant Disease Object Detection

The world population is expected to reach 9.7 billion by 2050. That’s a lot of mouths to feed. Technology is powering the next generation of yield increases. Computer

Releasing an Improved Blood Count and Cell Detection (BCCD) Dataset

Computer vision is revolutionizing medical diagnoses by assisting doctors with patterns they may not have seen or identifying an error they may have overlooked. Thus, it's unsurprising one of the

A popular self-driving car dataset is missing labels for hundreds of pedestrians

And that's a problem that is extremely dangerous. Machine learning, the process of teaching computer algorithms to perform new tasks by example, is poised to transform industries from agriculture to