Written by

Samrat Sahoo

Samrat Sahoo

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.

How AI Protects My Garden from Rabbits

Rabbits were eating all of my vegetables. I decided to take a stand and implement a computer vision enabled system to automatically spook them away from my garden.

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.

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.

How to Train the Hugging Face Vision Transformer On a Custom Dataset

HuggingFace has recently published a Vision Transfomer model. In this post, we will walk through how you can train a Vision Transformer to recognize classification data for your custom use

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.

What is a Cutout Augmentation and When Can it Help?

Applying data augmentations is one of the most essential steps when developing your dataset. Roboflow offers a wide variety of augmentations that you can apply to your dataset including an

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.

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

In this post, we walk through how to train an end to end custom mobile object detection model. We will use the state of the art YOLOv4 tiny Darknet model

Train YOLOv4-tiny on Custom Data - Lightning Fast Object Detection

YOLOv4-tiny has been released! You can use YOLOv4-tiny for much faster training and much faster detection. In this article, we will walk through how to train YOLOv4-tiny on your own

How to Train YOLOv4 on a Custom Dataset

In this tutorial, we walkthrough how to train YOLOv4 Darknet for state-of-the-art object detection on your own dataset, with varying number of classes. Train YOLOv4 on a custom dataset with