Data · dataset · 2024
PaddyVarietyBD: Classifying Paddy Variations of Bangladesh with a Novel Image Dataset
Listed in Teesside University Research Data Repository
Paddy Varieties Image Dataset Description: This dataset provides a comprehensive collection of 35 paddy variety images, compiled from the Bangladesh Rice Research Institute (BRRI) and the Bangladesh Institute of Nuclear Agriculture (BINA).
Description
The purpose of this dataset is to aid in the identification and classification of distinct paddy varieties based on their unique features, supporting both agricultural research and machine learning applications.
Paddy Varieties Included: The dataset covers a total of 35 paddy varieties, as follows: • BD Varieties: BD30, BD33, BD34, BD49, BD51, BD52, BD56, BD57, BD70, BD72, BD75, BD76, BD79, BD85, BD87, BD91, BD93, BD95 • Binadhan Varieties: Binadhan7, Binadhan8, Binadhan10, Binadhan11, Binadhan12, Binadhan14, Binadhan16, Binadhan17, Binadhan19, Binadhan20, Binadhan21, Binadhan23, Binadhan24, Binadhan25, Binadhan26 • BR Varieties: BR22, BR23 Dataset Breakdown: The dataset consists of two main components: Original Images and Augmented Images.
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These are divided into individual folders for each of the 35 paddy varieties, providing easy access for further analysis and use. • Original Image Dataset: o Total number of images: 14,000 o Image format: JPG o Image resolution: 640x480 pixels • Augmented Image Dataset: o Total number of images: 56,000 o Image format: JPG o Image resolution: 640x480 pixels o Augmentation techniques: Rotation (90° left, 90° right, 180°), flipping, and shearing Image Capture and Methodology Images for this dataset were captured using high-resolution digital microscope cameras, with magnifications of 1600x and 1000x.
These images were taken in September 2023, ensuring high-quality close-up views of the paddy varieties. Dataset Storage and Access: The dataset is stored in two separate zip files: • Original.zip contains the 14,000 original images. • Augmented.zip contains the 56,000 augmented images. Each zip file includes 35 individual folders, with each folder corresponding to a specific paddy variety.
Links
Where it is published
- DOI doi.org/10.17632/tx277syzhm.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Deep learning · Earth & Environmental Science · Machine learning
- Inferred from text
- Image 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/tx277syzhm.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |