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Data · dataset · 2022

Sa-m/cropsVSweed

Listed in Hugging Face Datasets

Description

WeedCrop Image Dataset Data Description It includes 2822 images. Images are annotated in YOLO v5 PyTorch format. -Train directory contains 2469 images and respective labels in yolov5 Pytorch format. -Validation directory contains 235 images and respective labels in yolov5 Pytorch format. -Test directory contains 118 images and respective labels in yolov5 Pytorch format. Reference- kaggle.com/datasets/vinayakshanawad/weedcrop-image-dataset

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsSa-m/cropsVSweed13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0