SynthDet VS Mask-RCNN-Implementation

Compare SynthDet vs Mask-RCNN-Implementation and see what are their differences.

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SynthDet Mask-RCNN-Implementation
3 1
350 3
0.9% -
2.9 3.2
10 months ago about 3 years ago
C# Jupyter Notebook
Apache License 2.0 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.

SynthDet

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

Mask-RCNN-Implementation

Posts with mentions or reviews of Mask-RCNN-Implementation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-09.

What are some alternatives?

When comparing SynthDet and Mask-RCNN-Implementation you can also consider the following projects:

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

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

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

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

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.

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

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

make-sense - Free to use online tool for labelling photos. https://makesense.ai

TACO - 🌮 Trash Annotations in Context Dataset Toolkit