This repository provides semantic segmentation models with more than 500 pretrained convolutional and transformer backbones.
Open source
24 alternativesHow do Yolov5 and Yolov3 compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Yolov5 | Yolov3 |
|---|---|---|
| What it is | Ultralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch. | This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export. |
| 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 |
Sites similar to both Yolov5 and Yolov3.
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.
Detectron2 provides computer vision tools for object detection, segmentation, and other visual recognition tasks.
Snorkel helps generate training data programmatically through weak supervision.
This repository provides segmentation models with pretrained backbones for Keras and TensorFlow Keras.
FastDatasets helps create training datasets for large language models.