Object Detection

14 Jul 2022 • 4 min read

Using Polygon Annotations for Object Detection in Computer Vision

Benefits to Existing Models Polygons have traditionally been used for training image segmentation models [https://blog.roboflow.com/instance-segmentation-training-roboflow/], but polygons can also improve the training of object detection models [https://blog.roboflow.com/object-detection/] (which predict bounding boxes). Object detection models are typically much faster and more widely supported,

13 Jul 2022 • 2 min read

How to Use Polygon Annotation and Labeling with Roboflow

Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.

13 Jul 2022 • 5 min read

How to Train a YOLOv7 Model on a Custom Dataset

Hot on the heels of MT-YOLOv6, a new YOLO dropped this week (and this one is a doozy). YOLOv7 was created by WongKinYiu and AlexeyAB, the creators of YOLOv4 Darknet (and the official canonical maintainers of the YOLO lineage according to pjreddie, the original inventor and maintainer of the YOLO

1 Jul 2022 • 16 min read

How to Train a YOLOv6 Model on a Custom Dataset

Learn how to train a YOLOv6 object detection model on a custom dataset.

29 Jun 2022 • 5 min read

Using Gaming Datasets for Game Automation with Computer Vision

As a child, I grew up playing Minecraft [https://www.minecraft.net/en-us], a 3D block game where the only limit is your creativity. Players navigate their 3D block world, collect resources, 'craft' tools and resources, and build to their heart's content. Computer vision transcends industries,

15 Jun 2022 • 9 min read

Train and Deploy YOLOS Transformer On a Custom Dataset

In this post, we showcase training and deploying YOLOS end to end, from labeling your data, to training your model, to deploying your model on AWS for inference.

6 Jun 2022 • 7 min read

Food Manufacturing Defect Detection with Lucky Charms

The marshmallows found in a box of Lucky Charms cereal - marbits as they were originally named by their creators Edward S. Olney and Howard S. Thurmon - are undoubtedly the best part of the classic breakfast cereal. In August of 2020, General Mills began selling pouches of "Just

6 Jun 2022 • 6 min read

Autonomous Vehicle Object Detection

Ampera Racing is a team formed by students from UFSC (Federal University of Santa Catarina) with the objective of developing an electric vehicle every year and promoting the mobility of the future. Now we're building an autonomous vehicle with object detection. In 2021 we realized that we could

19 May 2022 • 1 min read

Launch: Instance Segmentation Project Training and Inference

What Is Instance Segmentation? Instance segmentation [https://blog.roboflow.com/instance-segmentation-roboflow/], also known as image segmentation, is the computer vision task of recognizing objects in images along with their associated shape. In other words, it is the outline of a given object. It also includes a bounding box surrounding the

19 May 2022 • 4 min read

Launch: Roboflow OAK pip package

roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.

17 May 2022 • 4 min read

Boxing Punch Detection Using Computer Vision

One of the best parts about joining Roboflow [https://roboflow.com/careers] is doing a computer vision project in your first 2 weeks. As someone who loves to workout, I wanted to focus my project on a fitness related use case. I often mix boxing workouts into my routine, and

11 May 2022 • 3 min read

How to Train a YOLOv5 Oriented Bounding Box Model

Learn how to train a YOLOv5 Oriented Bounding Box (OBB) object detection model.

23 Feb 2022 • 1 min read

Testing A Computer Vision Model In 10 Seconds Or Less

Learn how to test your computer vision model with Roboflow.

7 Feb 2022 • 7 min read

How to Train Computer Vision Models on Aerial Imagery

Aerial imagery are images taken from aircrafts like drones, planes, and helicopters. With these images we can train a model to detect objects like fires, buildings, solar panels, rooftops, maritime search and rescue, and more. A good use case example is when maritime search and rescue (SAR) teams search for

2 Aug 2021 • 6 min read

How to Train YOLOX On a Custom Dataset

The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.

12 Oct 2020 • 1 min read

Fighting Wildfires with Computer Vision

Abhishek Ghosh is training a computer vision model to detect the first signs of smoke from a forest fire with the ultimate hope of dispatching a drone to douse it with water before it gets out of control. It's all part of a project he's working

22 Aug 2020 • 8 min read

How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)

Learn how to train a custom mobile object detection model with YOLOv4 tiny and TensorFlow Lite.

17 Aug 2020 • 5 min read

How to Train a Custom TensorFlow Lite Object Detection Model

Learn how to train a custom TensorFlow Lite object detection model with a custom dataset.

18 Jul 2020 • 9 min read

Retail Store Item Detection using YOLOv5

Guest post by Roboflow user, Shayan Ali Bhatti, who used Roboflow to train an object detection model to identify items in grocery stores. Reposted with permission. Original content here. In this article, I present an application of the latest version of popular deep learning algorithm YOLO i.e. YOLOv5, to

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.

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.

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.

13 May 2020 • 7 min read

Data Augmentation in YOLOv4

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

6 Apr 2020 • 6 min read

How to Create to a TFRecord File for Computer Vision and Object Detection

TensorFlow expedites the machine learning process markedly. From abstracting complex linear algebra to including pre-trained models and weights, getting the most out of TensorFlow is a full-time job. However, when it comes to loading data in ways that TensorFlow expects in order to perform as efficiently as it does, every