Data · dataset · 2024
BDFreshFish: A Comprehensive Image Dataset for Machine Learning Applications on Bangladeshi Freshwater Fishes
Listed in Teesside University Research Data Repository
The "BDFreshFish" dataset contains a set of image data for eight different categories of native freshwater fish from various parts of Bangladesh.
Description
The eight distinct classes of fish have the following scientific names: Anabas Testudineus, Batasio Tengana, Channa Punctata, Marcrobrachium malcoimsonii, Heteropneustes Fossilis, Mastacembelus Armatus, Ompok Bimaculatus, and Puntius Sophore. Our collection comprises 3100+ images across these eight classes, with 300 augmented images and approximately 100 raw images in each class.
The majority of raw images originate from rivers in Bangladesh. The dataset has four primary fish species characteristics: head, body, scales, and fins. Each original image was taken in adequate natural light against the right backdrop.
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Each image was properly organized into an appropriate folder, allowing different machine learning and deep learning models to make the best use of the images. Utilizing this enormous dataset and various traditional machine learning (TML) and deep learning (DL) techniques, researchers could make significant advancements in analyzing particular fish category classifications to analyze the freshwater environment and fish movement.
Links
Where it is published
- DOI doi.org/10.17632/29kjy99kkh.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 · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/29kjy99kkh.1 | 10 d 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: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[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | 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 |