yolov3-tf2 VS SynthDet

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

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yolov3-tf2 SynthDet
3 3
2,508 348
- 0.6%
2.8 2.9
22 days ago 9 months ago
Jupyter Notebook C#
MIT License Apache License 2.0
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.

SynthDet

Posts with mentions or reviews of SynthDet. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SynthDet yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing yolov3-tf2 and SynthDet 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)

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

yolact - Tensorflow 2.x implementation YOLACT

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

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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

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

YOLOv3 - YOLOv3 Implementation in TensorFlow 1.1X