Starting a project on Roboflow, importing images, using the annotation workflow, adding images from Roboflow Universe, and more: Getting Started with Roboflow
Topics Covered:
Creating Your Project
What are annotation batches? Uploading images (working with annotation batches, and our annotation workflow) Launch: Collaborative Annotations
Getting Images from Roboflow Universe to add to a project
Uploading images to your annotation batch (fresh unannotated images, already annotated images, video files)
Using the annotation tool
Completing an annotation batch, and generating versions of your dataset for model training
Uploading the images from Roboflow Universe to the project
Navigating annotation batches, and uploading new images
Generating versions: quick primer on preprocessing and augmentation – for more: Image Transformations - Roboflow
Primer on Dataset Health Check – insights into your dataset like: total number of annotations, heatmap of annotations, average image sizes, number of labels for each class (class balance)
Training your model
Using Label Assist
Training a custom model (https://models.roboflow.com)
Roboflow Train results: model inference/deployment options and running tests Inference - Object Detection - Roboflow