flying-guide-dog VS AgML

Compare flying-guide-dog vs AgML and see what are their differences.

flying-guide-dog

Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021 (by EckoTan0804)

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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flying-guide-dog AgML
1 1
12 155
- 5.2%
0.0 7.5
about 2 years ago 5 days ago
Python 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.

flying-guide-dog

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

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 flying-guide-dog and AgML you can also consider the following projects:

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

gluon-cv - Gluon CV Toolkit

MOBA-Minimap-Awareness-Trainer - Minimap eye-tracking enabled tool improves map awareness in League of Legends (lol), Dota 2, Valorant, and more MOBA PC games

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

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]

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

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

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

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format