gluon-cv VS awesome-object-detection

Compare gluon-cv vs awesome-object-detection and see what are their differences.

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gluon-cv awesome-object-detection
1 1
5,751 7,245
0.9% -
1.8 10.0
over 1 year ago over 1 year ago
Python
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.

gluon-cv

Posts with mentions or reviews of gluon-cv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

awesome-object-detection

Posts with mentions or reviews of awesome-object-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

What are some alternatives?

When comparing gluon-cv and awesome-object-detection you can also consider the following projects:

Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)

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

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

VolleyVision - Applying Deep Learning Approaches to Volleyball Data

YOLOv3_TensorFlow - Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

hagrid - HAnd Gesture Recognition Image Dataset

PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.

AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.