cropandweed/cropandweed-dataset
[WACV 2023] Information and scripts for the CropAndWeed Dataset
This project provides a comprehensive dataset of real-world farm images, complete with detailed annotations to help develop and test automated systems for identifying crops and weeds. It takes in raw field images and outputs precise information like bounding boxes, semantic masks, and environmental parameters (soil, moisture, lighting) for each plant. Agronomists, precision agriculture engineers, and agricultural researchers can use this data to train machine learning models for intelligent weeding and crop management.
110 stars. No commits in the last 6 months.
Use this if you are developing or evaluating computer vision models that need to accurately distinguish between various crop and weed species in diverse outdoor conditions.
Not ideal if you need a dataset for indoor farming, plant disease detection, or pest identification, as it focuses specifically on crop and weed classification in field environments.
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110
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20
Language
Python
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Last pushed
Apr 22, 2023
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/cropandweed/cropandweed-dataset"
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