Roboflow | How to Use the Roboflow Upload API (Python) @Roboflow | Uploaded 3 years ago | Updated 1 hour ago
The Upload API enables you to programmatically add images and annotations to your datasets. This is essential when incorporating active learning to your projects: you want to sample from your model's production conditions regularly to add data back to your projects for continued improvement.
Notebook: colab.research.google.com/drive/1DVzg1_O6RKVBMeJyI1qO6bpCrg2EjSGg
Docs: docs.roboflow.com/adding-data/upload-api
✅ Subscribe: bit.ly/rf-yt-sub
Looking for Upload API bash script instead of Python? Watch here: youtube.com/watch?v=sphuCBOm7Z0
00:00 - 00:47 Introduction
00:47 - Setting up project and getting API key
2:39 - Upload API documentation walkthrough
3:23 - Creating a request to upload a single image
7:20 - Creating a request for a single annotation
10:10 - Uploading a folder of images via API
14:37 - Uploading a folder of images and annotations via API
18:10 - Viewing the results
💻 Project Templates: roboflow.com/templates
The Upload API enables you to programmatically add images and annotations to your datasets. This is essential when incorporating active learning to your projects: you want to sample from your model's production conditions regularly to add data back to your projects for continued improvement.
Notebook: colab.research.google.com/drive/1DVzg1_O6RKVBMeJyI1qO6bpCrg2EjSGg
Docs: docs.roboflow.com/adding-data/upload-api
✅ Subscribe: bit.ly/rf-yt-sub
Looking for Upload API bash script instead of Python? Watch here: youtube.com/watch?v=sphuCBOm7Z0
00:00 - 00:47 Introduction
00:47 - Setting up project and getting API key
2:39 - Upload API documentation walkthrough
3:23 - Creating a request to upload a single image
7:20 - Creating a request for a single annotation
10:10 - Uploading a folder of images via API
14:37 - Uploading a folder of images and annotations via API
18:10 - Viewing the results
💻 Project Templates: roboflow.com/templates