• 4 min read
Why and How to Implement Random Crop Data Augmentation
Learn how to apply a random crop data augmentation to images for use in training computer vision models.
Blog
Joseph Nelson
Roboflow cofounder and CEO. On a mission to transform every industry by democratizing computer vision. Previously founded and sold a machine learning company.
Latest Posts by Joseph Nelson
• 1 min read
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 more popular "hello world" datasets of object detection is the blood count and cell detection dataset
• 4 min read
Eliminating Boilerplate Code with Roboflow to Monitor Security Camera Footage
By using Roboflow [https://roboflow.ai], data scientist Alaa Senjab
[https://alaasenjab.github.io/site/] reduced his time to train a custom object
detection model [https://models.roboflow.ai/object-detection] detecting guns in
security camera footage [https://public.roboflow.ai/object-detection/pistols]
while increasing machine learning model accuracy
[https://blog.
• 7 min read
Training a TensorFlow MobileNet Object Detection Model with a Custom Dataset
Change two lines of code and have a custom trained object detection model leveraging the TensorFlow 1.5 API.
• 2 min read
When to Use Grayscale as a Preprocessing Step
Grayscale allows our models to be more computationally efficient. So when **shouldn't** we grayscale our images?
• 4 min read
You Might Be Resizing Your Images Incorrectly
Resizing images is a critical preprocessing step in computer vision.
Principally, our machine learning models [https://models.roboflow.ai] train
faster on smaller images. An input image that is twice as large requires our
network to learn from four times as many pixels — and that time adds up.
Moreover, many
• 9 min read
How to Convert Annotations from PASCAL VOC XML to COCO JSON
Convert from VOC XML to COCO JSON (or any format!) in four clicks.
• 2 min read
Introducing Public Datasets
One of the most painstaking components of getting started with computer vision
[https://blog.roboflow.com/getting-started-with-roboflow/] is getting access to clean,
labeled data. For example, when the Roboflow [https://roboflow.ai] team built
BoardBoss [https://boardboss.com], we painstakingly collected hundreds of
Boggle
board images [https://public.roboflow.ai/
• 8 min read
What is Image Preprocessing and Augmentation?
Understanding image preprocessing and augmentation options is essential to making the most of your training data.
• 11 min read
Training a YOLOv3 Object Detection Model with a Custom Dataset
A walkthrough of building chess piece object detection model, easily adapted to your own dataset.
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