yolov3-tf2 VS yolact

Compare yolov3-tf2 vs yolact and see what are their differences.

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yolov3-tf2 yolact
3 4
2,507 4,919
- -
2.8 0.0
about 1 month ago 6 months ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

yolov3-tf2

Posts with mentions or reviews of yolov3-tf2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

yolact

Posts with mentions or reviews of yolact. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

What are some alternatives?

When comparing yolov3-tf2 and yolact you can also consider the following projects:

tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

yolact - Tensorflow 2.x implementation YOLACT

yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

mmdetection - OpenMMLab Detection Toolbox and Benchmark

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

handwritten-multi-digit-number-recognition - Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more