OpenCV Course: Roboflow Overview

Roboflow · Beginner ·👁️ Computer Vision ·5y ago

Key Takeaways

This video introduces the Roboflow computer vision pipeline and its integration with the Luxonis Oak-D device, covering upload, annotation, organization, training, and deployment using OpenCV.

Full Transcript

hey it's matt from roboflow i'm excited to be working with you today throughout this course what i'm going to show you is how to use roboflow and the luxonis oak d device together in order to do that though i do want to take a brief moment to talk to you about at a ten thousand foot level what roboflow is as you can see here roboflow gives you everything you need to start building computer vision into your applications whether you're a software developer a data scientist a product manager or something else roboflow is something that you will be able to use and i'm going to walk through this with you today there are five different stages of using roboflow you can see them down below for example we're going to start by uploading images together once we've uploaded images then we're going to move into using the platform to annotate those images or label those images together then i'm going to show you what organizing your images looks like when it comes to organizing we often think about pre-processing and augmenting our images next we're going to get into how to train your model and then finally we're going to go into how to deploy that model specifically to the luxonis oak d device so i'm excited to walk through all of these steps with you through the remainder of this course

Original Description

An introduction to using the Roboflow computer vision pipeline for upload annotation, organization, training, and deployment to the OpenCV AI Kit. The full course is coming soon. If you want (free) early access to all of the videos, sign up here: https://roboflow.typeform.com/to/iRC3SD4b
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Playlist

Uploads from Roboflow · Roboflow · 0 of 60

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1 YOLOv3 PyTorch Notebook Tutorial
YOLOv3 PyTorch Notebook Tutorial
Roboflow
2 How to Train YOLOv4 on a Custom Dataset (PyTorch)
How to Train YOLOv4 on a Custom Dataset (PyTorch)
Roboflow
3 How to Train YOLOv5 on a Custom Dataset
How to Train YOLOv5 on a Custom Dataset
Roboflow
4 How to Use the Roboflow Dataset Health Check
How to Use the Roboflow Dataset Health Check
Roboflow
5 What is Mean Average Precision (mAP)?
What is Mean Average Precision (mAP)?
Roboflow
6 How to Use the Roboflow Model Library
How to Use the Roboflow Model Library
Roboflow
7 How to Train EfficientDet in TensorFlow 2 Object Detection
How to Train EfficientDet in TensorFlow 2 Object Detection
Roboflow
8 How to Train YOLO v4 Tiny (Darknet) on a Custom Dataset
How to Train YOLO v4 Tiny (Darknet) on a Custom Dataset
Roboflow
9 Ask the Roboflow Team Anything - Episode 1
Ask the Roboflow Team Anything - Episode 1
Roboflow
10 Exploring The COCO Dataset
Exploring The COCO Dataset
Roboflow
11 Community Spotlight: Improving Uno with Computer Vision
Community Spotlight: Improving Uno with Computer Vision
Roboflow
12 Mosaic Data Augmentation - Deep Dive
Mosaic Data Augmentation - Deep Dive
Roboflow
13 Hands on with the OAK-1
Hands on with the OAK-1
Roboflow
14 Glenn Jocher: What is New in YOLO v5?
Glenn Jocher: What is New in YOLO v5?
Roboflow
15 How to Use Amazon Rekognition Custom Labels and Roboflow to Build an Object Detection Model
How to Use Amazon Rekognition Custom Labels and Roboflow to Build an Object Detection Model
Roboflow
16 An Interview with Brandon Gilles, Luxonis Founder and OAK Chief Architect
An Interview with Brandon Gilles, Luxonis Founder and OAK Chief Architect
Roboflow
17 How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)
How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)
Roboflow
18 Tackling the Small Object Problem in Object Detection
Tackling the Small Object Problem in Object Detection
Roboflow
19 Fast.ai v2 Released - What's New?
Fast.ai v2 Released - What's New?
Roboflow
20 Teaser: Roboflow Train (1-Click Computer Vision AutoML)
Teaser: Roboflow Train (1-Click Computer Vision AutoML)
Roboflow
21 How to Train a Custom Resnet34 Image Classification Model
How to Train a Custom Resnet34 Image Classification Model
Roboflow
22 How to Label Images for Object Detection with CVAT
How to Label Images for Object Detection with CVAT
Roboflow
23 Deploy YOLOv5 to Jetson Xavier NX at 30 FPS
Deploy YOLOv5 to Jetson Xavier NX at 30 FPS
Roboflow
24 Elisha Odemakinde Hosts Roboflow ML Engineer, Jacob Solawetz
Elisha Odemakinde Hosts Roboflow ML Engineer, Jacob Solawetz
Roboflow
25 Getting Started with VoTT - Computer Vision Annotation
Getting Started with VoTT - Computer Vision Annotation
Roboflow
26 How to Manage Classes in Object Detection (Rename, Combine, Balance)
How to Manage Classes in Object Detection (Rename, Combine, Balance)
Roboflow
27 How to Train YOLOv4 on a Custom Dataset in Darknet
How to Train YOLOv4 on a Custom Dataset in Darknet
Roboflow
28 Is Grayscale a Preprocessing or Augmentation Step in Computer Vision?
Is Grayscale a Preprocessing or Augmentation Step in Computer Vision?
Roboflow
29 Getting Started with Image Data Augmentation
Getting Started with Image Data Augmentation
Roboflow
30 Glenn Jocher: Image Augmentation in YOLO v5 and Beyond
Glenn Jocher: Image Augmentation in YOLO v5 and Beyond
Roboflow
31 GA Hosts Roboflow - Healthcare and AI
GA Hosts Roboflow - Healthcare and AI
Roboflow
32 How do self driving cars know when to stop?
How do self driving cars know when to stop?
Roboflow
33 What is PASCAL VOC XML?
What is PASCAL VOC XML?
Roboflow
34 AutoML Showdown: Google vs Amazon vs Microsoft
AutoML Showdown: Google vs Amazon vs Microsoft
Roboflow
35 How is computer vision changing manufacturing?
How is computer vision changing manufacturing?
Roboflow
36 The Alphabet in American Sign Language
The Alphabet in American Sign Language
Roboflow
37 Luxonis OAK-D: Computer Vision on Device
Luxonis OAK-D: Computer Vision on Device
Roboflow
38 How to Train a Custom Faster R-CNN Model with Facebook AI's Detectron2 | Use Your Own Dataset
How to Train a Custom Faster R-CNN Model with Facebook AI's Detectron2 | Use Your Own Dataset
Roboflow
39 TensorFlow vs PyTorch: Fireside
TensorFlow vs PyTorch: Fireside
Roboflow
40 Occlusion Techniques in Computer Vision
Occlusion Techniques in Computer Vision
Roboflow
41 A Customizable Web Application for Your Computer Vision Model
A Customizable Web Application for Your Computer Vision Model
Roboflow
42 Model Tradeoffs and the Future of Computer Vision
Model Tradeoffs and the Future of Computer Vision
Roboflow
43 Designing an Augmented Reality Board Game App
Designing an Augmented Reality Board Game App
Roboflow
44 YOLOv4 - Advanced Tactics
YOLOv4 - Advanced Tactics
Roboflow
45 How to Use CreateML and Build a Computer Vision iPhone App | AR Object Detection
How to Use CreateML and Build a Computer Vision iPhone App | AR Object Detection
Roboflow
46 Fireside Chat: Computer Vision in Agriculture
Fireside Chat: Computer Vision in Agriculture
Roboflow
47 Scaled-YOLOv4 Tops EfficientDet: Research Rundown
Scaled-YOLOv4 Tops EfficientDet: Research Rundown
Roboflow
48 What is Image Preprocessing?
What is Image Preprocessing?
Roboflow
49 Building a Community of Creators with BlkArthouse and Von Deon
Building a Community of Creators with BlkArthouse and Von Deon
Roboflow
50 How to Train Scaled-YOLOv4 to Detect Custom Objects
How to Train Scaled-YOLOv4 to Detect Custom Objects
Roboflow
51 Intro to Computer Vision: Fireside
Intro to Computer Vision: Fireside
Roboflow
52 The Best Way to Annotate Images for Object Detection
The Best Way to Annotate Images for Object Detection
Roboflow
53 The Computer Vision Process: Fireside
The Computer Vision Process: Fireside
Roboflow
54 How to Annotate Images with Your Team Using Roboflow
How to Annotate Images with Your Team Using Roboflow
Roboflow
55 Introducing the Roboflow Object Count Histogram
Introducing the Roboflow Object Count Histogram
Roboflow
56 How Fast is the M1 at Machine Learning? Benchmarking Apple's M1 and Intel's Chips
How Fast is the M1 at Machine Learning? Benchmarking Apple's M1 and Intel's Chips
Roboflow
57 CLIP: OpenAI's amazing new zero-shot image classifier
CLIP: OpenAI's amazing new zero-shot image classifier
Roboflow
58 How I hacked my Nest camera to run custom models
How I hacked my Nest camera to run custom models
Roboflow
59 Getting Started with the Roboflow Inference API
Getting Started with the Roboflow Inference API
Roboflow
60 Transfer Learning in Computer Vision | What, How, Why
Transfer Learning in Computer Vision | What, How, Why
Roboflow

This video provides an overview of the Roboflow computer vision pipeline and its integration with the Luxonis Oak-D device. It covers the five stages of using Roboflow, including uploading images, annotating images, organizing images, training models, and deploying models. By the end of this course, you will be able to build and deploy your own computer vision models using Roboflow and OpenCV.

Key Takeaways
  1. Upload images to Roboflow
  2. Annotate images using the Roboflow platform
  3. Organize images by pre-processing and augmenting
  4. Train a computer vision model using Roboflow
  5. Deploy the model to the Luxonis Oak-D device
💡 The Roboflow platform provides a streamlined workflow for building and deploying computer vision models, making it accessible to developers, data scientists, and product managers.

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