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Jacob Solawetz

Founding Engineer @ Roboflow - ascending the 1/loss

Latest Posts by Jacob Solawetz

Introducing Class Label Remapping and Omission

7 Jul 2020 • 3 min read

Introducing Class Label Remapping and Omission

With Roboflow Pro, you can now remap and omit class labels within Roboflow as a preprocessing step for your dataset version. Class management is a powerful tool to get the most out of your training data and your hard earned class label annotations.

Train a YOLOv4-tiny Model on a Custom Dataset

1 Jul 2020 • 6 min read

Train a YOLOv4-tiny Model on a Custom Dataset

Learn how to train a YOLOv4-tiny model on a custom dataset.

What is YOLOv5? A Guide for Beginners.

29 Jun 2020 • 15 min read

What is YOLOv5? A Guide for Beginners.

In this article, we discuss what is new in YOLOv5, how the model compares to YOLO v4, and the architecture of the new v5 model.

Why and How to Implement Random Rotate Data Augmentation

24 Jun 2020 • 9 min read

Why and How to Implement Random Rotate Data Augmentation

Learn how to apply a random rotate data augmentation to images for use in training computer vision models.

How to Train Detectron2 on Custom Object Detection Data

24 Jun 2020 • 9 min read

How to Train Detectron2 on Custom Object Detection Data

Learn how to train a Detectron2 model on a custom object detection dataset.

How to Build a Custom Open Images Dataset for Object Detection

18 Jun 2020 • 4 min read

How to Build a Custom Open Images Dataset for Object Detection

We are excited to announce integration with the Open Images Dataset and the release of two new public datasets encapsulating subdomains of the Open Images Dataset: Vehicles Object Detection [https://public.roboflow.ai/object-detection/vehicles-openimages] and Shellfish Object Detection [https://public.roboflow.ai/object-detection/shellfish-openimages]. In this post, we will

Responding to the Controversy about YOLOv5

12 Jun 2020 • 16 min read

Responding to the Controversy about YOLOv5

We appreciate the machine learning community's feedback, and we're publishing additional details on our methodology. (Note: On June 14, we've incorporated updates from YOLOv4 author Alexey Bochkovskiy, YOLOv5 author Glenn Jocher, and others in the community.) Don't care about the controversy? Skip

YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS

10 Jun 2020 • 4 min read

YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS

Less than 50 days after the release YOLOv4, YOLOv5 improves accessibility for realtime object detection. June 29, YOLOv5 has released the first official version of the repository. We wrote a new deep dive on YOLOv5. June 12, 8:08 AM CDT Update: In response to to community feedback, we have

How to Train a YOLOv5 Model On a Custom Dataset

10 Jun 2020 • 10 min read

How to Train a YOLOv5 Model On a Custom Dataset

Learn how to train a YOLOv5 model on a custom dataset.

Getting Started with Data Augmentation in Computer Vision

2 Jun 2020 • 7 min read

Getting Started with Data Augmentation in Computer Vision

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

How to Train YOLOv4 on a Custom Dataset

21 May 2020 • 9 min read

How to Train YOLOv4 on a Custom Dataset

Learn how to train a YOLOv4 model on a custom dataset.

Data Augmentation in YOLOv4

13 May 2020 • 7 min read

Data Augmentation in YOLOv4

Learn how data augmentation is used in training YOLOv4 computer vision models.

What is Mean Average Precision (mAP) in Object Detection?

6 May 2020 • 10 min read

What is Mean Average Precision (mAP) in Object Detection?

What is mean average precision? How do we calculate mAP?

Breaking Down the Technology Behind Self-Driving Cars

4 May 2020 • 5 min read

Breaking Down the Technology Behind Self-Driving Cars

In May 2016, Joshua Brown died in the Tesla's first autopilot crash [https://news.sky.com/story/tesla-driver-in-first-self-drive-fatal-crash-10330121] . The crash was attributed to the self-driving cars system not recognizing the difference between a truck and the bright sky above it. The system did not recognize the difference between

YOLOv3 Versus EfficientDet for State-of-the-Art Object Detection

1 May 2020 • 6 min read

YOLOv3 Versus EfficientDet for State-of-the-Art Object Detection

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

EfficientDet for Object Detection

22 Apr 2020 • 7 min read

EfficientDet for Object Detection

In this post, we do a deep dive into the neural magic of EfficientDet [https://models.roboflow.ai/object-detection/efficientdet] for object detection [https://models.roboflow.ai/object-detection], focusing on the model's motivation, design, and architecture. Recently, the Google Brain team published [https://arxiv.org/abs/1911.09070]

How to Train an EfficientDet Object Detection Model with a Custom Dataset

13 Apr 2020 • 5 min read

How to Train an EfficientDet Object Detection Model with a Custom Dataset

Learn how to train an EfficientDet object detection model with a custom dataset.

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