Introducing the Roboflow Deployment Tab
Key Takeaways
The Roboflow Deployment Tab is introduced, allowing users to easily deploy and use their computer vision models after training, with features such as an inference widget, documentation, and code snippets for hosted inference API and edge deployment.
Full Transcript
hey everybody it's Lucas from roboflow I'm here to show you guys the new deploy page that we made so it's as easy as possible start using your computer vision models as soon as they finish training we did this by making a new inference widget that accepts your webcam video and image formats in the platform as well as providing documentation and code Snippets formatted with the model endpoint version and your API key so you can copy and paste them and put them directly into your application and get off the ground running so I'm going to show you guys today uh using a simference widget and some of the code Snippets so here I'm going to start by choosing from any of the trained versions I'm just going to leave it as the default which is the latest and then over here you can see the training results and the stats as well as some nice visuals and then here with the inference widget I can choose an image from the test set and I can change the confidence threshold over here and the overlap threshold and I can also use my webcam here you go and you can use these thresholds as well with the videos and I can also paste a URL to an image so here just a quick Google search take this URL drop it here or I can also just drag this over and do that and I can also upload images or you can upload them directly if you don't want to drag and drop them and then I'm going to show you with a video I'm just going to drop this in here and I'm going to switch this rabbit model and then one of the nice things here is this video is in slow motion but I can change the speed so I'm going to put it at two times speed so it's a little bit more normal and then at the bottom here these are the code symptoms that I was talking about so you can either use our hosted inference API for auto scale deployment or you can deploy to the edge with one of these other deployment options and as I said these are all formatted they have uh the model endpoint the version and your API keys that are already formatted so you can just copy and paste and you're on your way and then lastly we have over here some resources on the right so here's our full documentation so you can find out more about inference with roboflow happy inferencing
Original Description
We recently released a new deployment tab to the Roboflow Platform (app.roboflow.com) and Roboflow Universe (universe.roboflow.com) so you can easily use your computer vision models after they have been trained.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Roboflow · Roboflow · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
YOLOv3 PyTorch Notebook Tutorial
Roboflow
How to Train YOLOv4 on a Custom Dataset (PyTorch)
Roboflow
How to Train YOLOv5 on a Custom Dataset
Roboflow
How to Use the Roboflow Dataset Health Check
Roboflow
What is Mean Average Precision (mAP)?
Roboflow
How to Use the Roboflow Model Library
Roboflow
How to Train EfficientDet in TensorFlow 2 Object Detection
Roboflow
How to Train YOLO v4 Tiny (Darknet) on a Custom Dataset
Roboflow
Ask the Roboflow Team Anything - Episode 1
Roboflow
Exploring The COCO Dataset
Roboflow
Community Spotlight: Improving Uno with Computer Vision
Roboflow
Mosaic Data Augmentation - Deep Dive
Roboflow
Hands on with the OAK-1
Roboflow
Glenn Jocher: What is New in YOLO v5?
Roboflow
How to Use Amazon Rekognition Custom Labels and Roboflow to Build an Object Detection Model
Roboflow
An Interview with Brandon Gilles, Luxonis Founder and OAK Chief Architect
Roboflow
How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)
Roboflow
Tackling the Small Object Problem in Object Detection
Roboflow
Fast.ai v2 Released - What's New?
Roboflow
Teaser: Roboflow Train (1-Click Computer Vision AutoML)
Roboflow
How to Train a Custom Resnet34 Image Classification Model
Roboflow
How to Label Images for Object Detection with CVAT
Roboflow
Deploy YOLOv5 to Jetson Xavier NX at 30 FPS
Roboflow
Elisha Odemakinde Hosts Roboflow ML Engineer, Jacob Solawetz
Roboflow
Getting Started with VoTT - Computer Vision Annotation
Roboflow
How to Manage Classes in Object Detection (Rename, Combine, Balance)
Roboflow
How to Train YOLOv4 on a Custom Dataset in Darknet
Roboflow
Is Grayscale a Preprocessing or Augmentation Step in Computer Vision?
Roboflow
Getting Started with Image Data Augmentation
Roboflow
Glenn Jocher: Image Augmentation in YOLO v5 and Beyond
Roboflow
GA Hosts Roboflow - Healthcare and AI
Roboflow
How do self driving cars know when to stop?
Roboflow
What is PASCAL VOC XML?
Roboflow
AutoML Showdown: Google vs Amazon vs Microsoft
Roboflow
How is computer vision changing manufacturing?
Roboflow
The Alphabet in American Sign Language
Roboflow
Luxonis OAK-D: Computer Vision on Device
Roboflow
How to Train a Custom Faster R-CNN Model with Facebook AI's Detectron2 | Use Your Own Dataset
Roboflow
TensorFlow vs PyTorch: Fireside
Roboflow
Occlusion Techniques in Computer Vision
Roboflow
A Customizable Web Application for Your Computer Vision Model
Roboflow
Model Tradeoffs and the Future of Computer Vision
Roboflow
Designing an Augmented Reality Board Game App
Roboflow
YOLOv4 - Advanced Tactics
Roboflow
How to Use CreateML and Build a Computer Vision iPhone App | AR Object Detection
Roboflow
Fireside Chat: Computer Vision in Agriculture
Roboflow
Scaled-YOLOv4 Tops EfficientDet: Research Rundown
Roboflow
What is Image Preprocessing?
Roboflow
Building a Community of Creators with BlkArthouse and Von Deon
Roboflow
How to Train Scaled-YOLOv4 to Detect Custom Objects
Roboflow
Intro to Computer Vision: Fireside
Roboflow
The Best Way to Annotate Images for Object Detection
Roboflow
The Computer Vision Process: Fireside
Roboflow
How to Annotate Images with Your Team Using Roboflow
Roboflow
Introducing the Roboflow Object Count Histogram
Roboflow
How Fast is the M1 at Machine Learning? Benchmarking Apple's M1 and Intel's Chips
Roboflow
CLIP: OpenAI's amazing new zero-shot image classifier
Roboflow
How I hacked my Nest camera to run custom models
Roboflow
Getting Started with the Roboflow Inference API
Roboflow
Transfer Learning in Computer Vision | What, How, Why
Roboflow
More on: CV Basics
View skill →
🎓
Tutor Explanation
DeepCamp AI