AlexOlsen/DeepWeeds
A Multiclass Weed Species Image Dataset for Deep Learning
This project provides a comprehensive collection of over 17,500 images of eight common Australian weed species, captured in their natural habitats. It takes in these images, alongside their species labels and location data, and can be used to develop or test systems for automated weed identification. This is ideal for agricultural researchers, farmers, or environmental managers who need to accurately identify specific weeds for effective land management.
245 stars. No commits in the last 6 months.
Use this if you need a high-quality, real-world image dataset to train or validate machine learning models for identifying specific Australian weed species.
Not ideal if you are looking for a dataset of general plant types or weeds outside of the specified Australian species and environments.
Stars
245
Forks
92
Language
C++
License
Apache-2.0
Category
Last pushed
Aug 03, 2021
Commits (30d)
0
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