gluon-cv VS AgML

Compare gluon-cv vs AgML and see what are their differences.

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. (by Project-AgML)
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gluon-cv AgML
1 1
5,751 153
0.9% 11.1%
1.8 7.7
over 1 year ago 2 months ago
Python Python
Apache License 2.0 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.
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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.

AgML

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

What are some alternatives?

When comparing gluon-cv and AgML 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.

ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

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

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

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

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

VolleyVision - Applying Deep Learning Approaches to Volleyball Data

Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

hagrid - HAnd Gesture Recognition Image Dataset

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

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

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/