YOLOv3 VS yolov3-tf2

Compare YOLOv3 vs yolov3-tf2 and see what are their differences.

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YOLOv3 yolov3-tf2
2 3
65 2,507
- -
0.0 2.8
over 5 years ago about 1 month ago
Python Jupyter Notebook
- 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

Posts with mentions or reviews of YOLOv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

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.

What are some alternatives?

When comparing YOLOv3 and yolov3-tf2 you can also consider the following projects:

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

yolact - A simple, fully convolutional model for real-time instance segmentation.

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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

tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

yolact - Tensorflow 2.x implementation YOLACT

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

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

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