Model Training

21 Dec 2023 • 5 min read

NeurIPS 2023 Papers Highlights

NeurIPS 2023, the conference and workshop on Neural Information Processing Systems, took place December 10th through 16th. The conference showcased the latest in machine learning and artificial intelligence. This year’s conference featured 3,584 papers that advance machine learning across many domains. NeurIPS announced the NeurIPS 2023 award-winning papers

19 Dec 2023 • 5 min read

Detecting Complex and Amorphous Features of Marine Sponges

In this post, Andy Portalatin describes work done for his master's thesis toward detecting complex and amorphous features of marine sponges.

6 Dec 2023 • 6 min read

Comparing Custom Models to Google Cloud Vision API

In this guide, we go over how to evaluate object detection models on Roboflow Universe versus Google Cloud Vision.

6 Dec 2023 • 7 min read

How to Detect Objects with YOLOv8

Learn how to detect objects with YOLOv8 using pre-trained and custom-trained object detection models.

16 Nov 2023 • 5 min read

What is Zero-Shot Classification?

Learn what zero-shot classification is, what zero-shot classification is used for, and how to use zero-shot classification to solve computer vision problems.

16 Nov 2023 • 6 min read

What is an Image Embedding?

Learn what image embeddings are and explore four use cases for embeddings: classifying images and video, clustering images, and image search.

7 Nov 2023 • 4 min read

DINO-GPT4-V: Use GPT-4V in a Two-Stage Detection Model

In this guide, we introduce DINO-GPT4V, a model that uses Grounding DINO to detect general objects and GPT-4V to refine labels.

31 Oct 2023 • 6 min read

What is Keypoint Detection?

In this guide, we discuss what keypoint detection is, common architectures used for keypoint detection, and the high-level steps to build a keypoint detection model.

24 Oct 2023 • 6 min read

Launch: Roboflow Logistics Pre-trained Object Detection Model

The Roboflow Logistics Model, trained on 99,238 images across 20 classes, offers a domain-specific advantage for logistics vision use cases.

24 Oct 2023 • 4 min read

Comparing Computer Vision Models On Custom Data

In this guide, show how to compare how two person detection models on Roboflow Universe perform using a benchmark dataset and supervision.

20 Oct 2023 • 5 min read

How to Use FastViT

In this guide, we talk about what FastViT is and show how to experiment with FastViT using the autodistill-fastvit wrapper.

9 Oct 2023 • 7 min read

Train a Computer Vision Model with AWS Rekognition Custom Labels

In this guide, you will learn how to train a computer vision model using AWS Rekognition Custom Labels.

9 Oct 2023 • 6 min read

Label a Computer Vision Dataset with Azure Custom Vision

In this guide, you will learn how to label a dataset in Azure Custom Vision for use in training a computer vision model.

6 Oct 2023 • 8 min read

Train a Computer Vision Model with Azure Custom Vision

In this guide, you will learn how to train a computer vision model using Azure Custom Vision.

28 Sep 2023 • 7 min read

Train a Computer Vision Model with Vertex AI

In this guide, you will learn how to train a computer vision model with Vertex AI. You will also learn how to deploy an endpoint to test your model.

14 Sep 2023 • 9 min read

Scaling up ViT Image Classification on Gaudi2 HPUs

Training large image transformers comes with heavy compute requirements - enter the Gaudi2 from Habana Labs, an Intel company.

6 Sep 2023 • 7 min read

How to Use Kaggle for Computer Vision

In this guide, we show how to use Kaggle Notebooks for computer vision tasks.

28 Aug 2023 • 7 min read

What is Mask2Former? The Ultimate Guide.

In this guide, we discuss what Mask2Former is, how the model works, and how Mask2Former performs on various computer vision tasks.

15 Aug 2023 • 5 min read

Ultimate Guide to Converting Bounding Boxes, Masks and Polygons

In this guide, we show how to convert bounding boxes (xyxy), masks, and polygons.

9 Aug 2023 • 6 min read

What is EfficientNet? The Ultimate Guide.

In this guide, we discuss what EfficientNet is, how it works, and how the compound scaling method is used in the model.

9 Aug 2023 • 8 min read

How to Train RTMDet on a Custom Dataset

Learn how to train a RTMDet computer vision model on a custom dataset.

1 Aug 2023 • 4 min read

Using Stable Diffusion and SAM to Modify Image Contents Zero Shot

Introduction Recent breakthroughs in large language models (LLMs) and foundation computer vision models have unlocked new interfaces and methods for editing images or videos. You may have heard of inpainting, outpainting, generative fill, and text to image; this post will show you how to execute those new generative AI functions

28 Jul 2023 • 10 min read

How to Use Computer Vision for Environment Monitoring

This article was contributed to the Roboflow blog by Abirami Vina. Measuring changes to our environment is an important part of understanding progress made toward a more sustainable world. Historically, measuring the world around us required time-intensive human monitoring and measurement by a small number of expert scientists. Thanks to

25 Jul 2023 • 5 min read

Detect and Segment Oil Spills Using Computer Vision

An oil spill in the sea is a devastating environmental incident that occurs when oil is released into the marine environment. Oil spills pose significant threats to marine ecosystems, wildlife, and coastal communities, and they can have long-lasting and far-reaching consequences. Due to the logistical difficulties in getting to impacted