Model Training

30 Sep 2021 • 3 min read

Roboflow and Ultralytics Partner to Streamline YOLOv5 MLOps

We're proud to share that Roboflow has entered into a partnership agreement with Ultralytics, the creators of YOLOv5, and that Roboflow is now the official dataset management and annotation tool for YOLOv5 with a focus on enabling active learning. Over the past year, YOLOv5 has gained broad adoption

22 Sep 2021 • 1 min read

What is PaddlePaddle?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [https://www.youtube.com/watch?v=vZX0rcJl8o8&list=PLZCA39VpuaZZrOVZEu0x8EQqfQdUDzjM2&index=2] . What is PaddlePaddle (in 60 Seconds or Fewer)? You likely ended up on this

20 Sep 2021 • 1 min read

What is PyTorch?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [https://www.youtube.com/watch?v=vZX0rcJl8o8&list=PLZCA39VpuaZZrOVZEu0x8EQqfQdUDzjM2&index=2] . What is PyTorch (in 60 Seconds or Fewer)? PyTorch is Facebook's open

6 Sep 2021 • 3 min read

How to Implement Object Tracking for Computer Vision

This post is a comprehensive guide on how to implement object tracking with your object detection model to track your custom objects

30 Aug 2021 • 1 min read

What is Amazon Rekognition?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [https://www.youtube.com/watch?v=vZX0rcJl8o8&list=PLZCA39VpuaZZrOVZEu0x8EQqfQdUDzjM2&index=2] . What is Amazon Rekognition (in 60 Seconds or Fewer)? Amazon's Rekognition is

23 Aug 2021 • 1 min read

What is AutoML?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [https://www.youtube.com/watch?v=vZX0rcJl8o8&list=PLZCA39VpuaZZrOVZEu0x8EQqfQdUDzjM2&index=2] . What is AutoML (in 60 Seconds or Fewer)? AutoML, "automated machine learning,"

23 Aug 2021 • 3 min read

What is Zero Shot Object Tracking?

We are exciting to announce that you can now track objects frame over frame in video and camera stream using the Roboflow Inference API and the open source zero shot object tracking repository, without having to train a separate classifier for your object track features.

6 Aug 2021 • 3 min read

Transformers Take Over Object Detection

It seemed just like a matter of time... and now the Transformers neural networks have landed - Microsoft's DyHead achieves state of the art object detection using a Transformer backbone.

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.

2 Jul 2021 • 7 min read

How to Train YOLOR on a Custom Dataset

The YOLO family recently got a new champion - YOLOR: You Only Learn One Representation. In this post, we will walk through how you can train YOLOR to recognize object detection data for your custom use case.

21 Jun 2021 • 3 min read

What is the JAX Deep Learning Framework?

You've probably heard of TensorFlow and PyTorch, and maybe you've even heard of MXNet - but there is a new kid on the block of machine learning frameworks - Google's JAX.

14 Jun 2021 • 6 min read

How to Train MobileNetV2 On a Custom Dataset

In this post, we will walk through how you can train MobileNetV2 to recognize image classification data for your custom use case.

14 Jun 2021 • 7 min read

Building vs. Buying a Computer Vision Platform

“You could do what Roboflow does yourself but…why would you?” -Jack Clark, Co-Founder of Anthropic [https://www.anthropic.com/], former Policy Directory at OpenAI [https://openai.com/], It’s no secret that building a computer vision model on your own is hard work. It requires wrangling together different platforms,

13 Jun 2021 • 4 min read

How to Train with Microsoft Azure Custom Vision and Roboflow

Roboflow is a tool for building robust machine learning operations pipelines for computer vision: from collecting and organizing images, annotating, training, deploying, and creating active learning [https://blog.roboflow.com/what-is-active-learning/] pipelines to rapidly create improved model performance. When it comes to the training step, developers should optimize for ease.

27 May 2021 • 6 min read

License Plate Detection and OCR on an NVIDIA Jetson

In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.

17 May 2021 • 4 min read

Prompt Engineering: The Magic Words to using OpenAI's CLIP

Featuring rock, paper, scissors. OpenAI's CLIP model [https://models.roboflow.com/classification/clip] (Contrastive Language-Image Pre-Training) is a powerful zero-shot classifier that leverages knowledge of the English language to classify images without having to be trained on any specific dataset. In other words, CLIP already knows a lot

14 May 2021 • 10 min read

License Plate Detection and OCR using Roboflow Inference API

In this post, we’ll walk you through creating a license plate detection and OCR model using Roboflow that you can programmatically use for your own projects.

11 May 2021 • 4 min read

PP-YOLO Strikes Again - Record Object Detection at 68.9FPS

Object detection research is white hot! In the last year alone, we've seen the state of the art reached by YOLOv4, YOLOv5, PP-YOLO, and Scaled-YOLOv4. And now Baidu releases PP-YOLOv2, setting new heights in the object detection space.

5 May 2021 • 8 min read

How to Train and Deploy Custom Models to Your OAK

In this blog, we'll walk through the Roboflow custom model deployment process to the OAK and show just how seamless it can be.

3 May 2021 • 8 min read

The power of image augmentation: an experiment

One of the amazing things about computer vision is using existing images plus random changes to increase your effective sample size. Suppose you have one photo containing a coffee mug. Then, copy that photo and rotate it 10 degrees clockwise. From your point of view, you haven’t done very

26 Apr 2021 • 3 min read

Image Augmentations for Aerial Datasets

Learn how to apply image augmentations to aerial datasets for use in training computer vision models.

11 Apr 2021 • 4 min read

How important is subject similarity for transfer learning?

Using transfer learning [https://blog.roboflow.com/a-primer-on-transfer-learning/] to initialize your computer vision model from pre-trained weights rather than starting from scratch (initializing randomly) has been shown to increase performance and decrease training time. It makes sense, by giving your model prior knowledge about basic concepts like lines, curves, textures,

28 Mar 2021 • 6 min read

Zero-Shot Content Moderation with OpenAI's New CLIP Model

Learn how to use the CLIP zero-shot model to moderate visual content.

20 Mar 2021 • 4 min read

What is Embedded Machine Learning?

Machine learning – the software discipline of mapping inputs to outputs without explicitly programmed relationships – requires substantial computational resources. Traditionally, this limits where machine learning models can run to very powerful supercomputers. But this is changing. Computation is required at two core moments in the machine learning development lifecycle: model training