AgML VS ScanRefer

Compare AgML vs ScanRefer 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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AgML ScanRefer
1 1
156 214
5.8% -
7.5 0.0
15 days ago over 1 year ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

AgML

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

ScanRefer

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

What are some alternatives?

When comparing AgML and ScanRefer you can also consider the following projects:

gluon-cv - Gluon CV Toolkit

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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]

3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

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

PTT - Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"

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

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