Custom Metadata, 3 New Tutorials
Custom Metadata
Lightly now supports uploading custom metadata, which can be used in the Lightly Web-app.
Tutorial on custom metadata
We added a new tutorial on how to create and use custom metadata to understand your dataset even better.
Tutorial to use lightly to find false negatives in object detection.
Do you have problems with your object detector not finding all objects? Lightly can help to you to find these false negatives. We created a tutorial describing how to do it.
Tutorial to embed the Lightly docker into a Dagster pipeline
Do you want to use the Lightly Docker as part of a bigger data pipeline, e.g. with Dagster? We added a tutorial on how to do it.
Models
- Bootstrap your own latent: A new approach to self-supervised Learning, 2020
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
- SimSiam: Exploring Simple Siamese Representation Learning, 2020
- MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
- SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
- NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021