yolov3-tf2 VS YOLOv3

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

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yolov3-tf2 YOLOv3
3 2
2,508 65
- -
2.8 0.0
about 2 months ago over 5 years ago
Jupyter Notebook Python
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.

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.

What are some alternatives?

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

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

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

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

yolact - Tensorflow 2.x implementation YOLACT

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

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.