Datasets:
Dataset Viewer
Search is not available for this dataset
pdf
pdf |
|---|
English Handwritten Biology Notes Dataset
This dataset contains high-resolution images of handwritten biology notes written in English. The collection includes labeled diagrams, definitions, explanations of biological processes, and annotated sketches. It supports AI research in handwriting recognition, diagram understanding, and document interpretation within the field of life sciences.
Contact
For queries or collaborations related to this dataset, contact:
Supported Tasks
Task Categories:
- Image Classification
- Text Recognition (OCR)
- Diagram and Label Detection
- Document Layout Understanding
Supported Tasks:
- Recognition of handwritten biology text, labels, and diagrams
- OCR for descriptive content and annotated illustrations
- Detection of biological structures, such as cells, organs, and organisms
- Analysis of note layout combining diagrams and written explanations
- AI research in note digitization and intelligent educational content extraction
Languages
- Primary Language: English
- Secondary Presence: Latin terms and scientific names (e.g., Homo sapiens, Amoeba proteus, DNA)
Dataset Creation
Curation Rationale
The dataset was curated to enhance AI models that can interpret handwritten biology content combining text and visuals. It aids in advancing educational AI, OCR, and diagram recognition technologies for biology and life sciences.
Source Data
- Contributors: Students, teachers, and volunteers providing academic or study notes
- Collection Process: Notes were scanned or photographed. All personal identifiers were removed prior to inclusion.
Other Known Limitations
- Bias: Predominantly school and undergraduate-level material
- Variability: Differences in handwriting, labeling styles, and diagram clarity
- Scope: Focused on core biology topics (botany, zoology, anatomy); limited molecular biology or research content
Intended Uses
✅ Direct Use
- Training AI models for OCR and diagram understanding in biology notes
- Academic research in handwritten document recognition
- Development of AI-powered educational and study tools
- Digitization of biology notebooks for learning applications
❌ Out-of-Scope Use
- Handwriting-based identification or profiling
- Commercial use of handwriting samples without consent
- Any misuse for surveillance or monitoring of contributors
License
CC BY 4.0
- Downloads last month
- -