Roboflow
ProductForumComputer Vision DatasetsComputer Vision Models
Search

⌃K
Links
Overview
Quick Start
Workspaces
Adding Data
Annotate
Dataset Health Check
Merge Projects/Datasets
Image Transformations
Exporting Data
Train
Microsoft COCO Checkpoint
Roboflow Universe Checkpoints
Previous Checkpoints
Train from Scratch
Python Package
Model Library
Monitoring Your Training Job
Training Results
Third Party Training Integrations
Roboflow Notebooks (GitHub)
Upload Weights
Inference - Object Detection
Inference - Classification
Inference - Instance Segmentation
Inference - Semantic Segmentation
Inference 2.0 BETA
REST API
Python Package
Command Line Interface
Frequently Asked Questions (FAQ)
A Guide for Model Production
Support
Powered By GitBook

Model Library

Explore state-of-the-art computer vision model architectures, immediately usable for training with your custom dataset.
We've made available a Model Library with over 25 State-of-the-Art (SOTA) computer vision model architectures.
Use the Model Library to train your own custom model with the notebooks repository on GitHub, which includes:
  1. 1.
    Pre-written Google Colab, AWS SageMaker StudioLabs, and Kaggle notebooks for model training
  2. 2.
    YouTube video tutorials
  3. 3.
    Written guides
GitHub - roboflow/notebooks: Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
GitHub

Saving Model Weights

How to Save and Load Model Weights in Google Colab
Roboflow Blog
Previous
Train from Scratch
Next
Monitoring Your Training Job
Last modified 1mo ago
Copy link