What is the COCO JSON Annotation Format?
COCO is a common JSON format used for machine learning because the dataset it was introduced with has become a common benchmark.| roboflow.com
A set of easy-to-use utilities that will come in handy in any computer vision project.| supervision.roboflow.com
A set of easy-to-use utilities that will come in handy in any computer vision project.| supervision.roboflow.com
COCO is a common JSON format used for machine learning because the dataset it was introduced with has become a common benchmark.| roboflow.com
YOLOv3 [https://models.roboflow.ai/object-detection/yolo-v3-pytorch] is known to be an incredibly performant, state-of-the-art model architecture: fast, accurate, and reliable. So how does the "new kid on the block," EfficientDet [https://blog.roboflow.com/breaking-down-efficientdet/], compare? Without spoilers, we were surprised by these results. NOTE: YOLO v5 [https://models.| Roboflow Blog
Learn what precision and recall are and why they are important in computer vision.| Roboflow Blog
Computer Vision (and Machine Learning in general) is one of those fields that can seem hard to approach because there are so many industry-specific words (or common words used in novel ways) that it can feel a bit like you're trying to learn a new language when you're trying to get started.| Roboflow Blog
Learn what F1 score is, for what it is used, and how to calculate F1 score.| Roboflow Blog
Data augmentation in computer vision is not new, but recently data augmentation has emerged on the forefront of state of the art modeling. YOLOv4, a new state of the art image detection model, uses a variety of data augmentation techniques to boost the models performance on COCO, a popular image| Roboflow Blog
