This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.
segmentation models.pytorch
vslightly
segmentation models.pytorch vs lightly
How do segmentation models.pytorch and lightly compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | segmentation models.pytorch | lightly |
|---|---|---|
| What it is | This repository provides semantic segmentation models with more than 500 pretrained convolutional and transformer backbones. | The lightly Python library supports self supervised learning on images. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both segmentation models.pytorch and lightly.
Open source
24 alternativesUltralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch.
Open source
24 alternativesA Python package to assess and improve fairness of machine learning models.
Open source
24 alternativespytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternativesFeature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesUltralytics supports detection, segmentation, image classification, pose estimation, and tracking across YOLO model versions.
Open source
24 alternatives






