| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: sample_id |
| dtype: string |
| - name: fruit diameter (mm) |
| dtype: float64 |
| - name: width across schoulder (mm) |
| dtype: float64 |
| - name: Actual Weight (gms) |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 32507327 |
| num_examples: 100 |
| download_size: 32511024 |
| dataset_size: 32507327 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - other |
| size_categories: |
| - n<1K |
| --- |
| # Alphonso Mango Phenotyping |
|
|
| This dataset comprises RGB images of Alphonso mango fruits captured in a controlled laboratory environment in Mysuru, India. Images were collected using a fixed-position Logitech C270 webcam during the May/June 2022 phenotyping period, providing standardized visual data for agricultural phenotyping research. The dataset contains 100 images, each paired with the following ground-truth measurement(s): Actual Weight (gms), fruit diameter (mm), width across schoulder (mm). |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{prabhu2023amdpwe, |
| title={AMDPWE: Alphonso Mango Dataset for Precision Weight Estimation}, |
| author={Prabhu, Akshatha and Rani, N. Shobha}, |
| journal={Data in Brief}, |
| volume={51}, |
| pages={109778}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Prabhu, Akshatha; Rani, N.Shobha (2023), “Alphonso Mangoes Image Dataset”, Mendeley Data, V1, doi: 10.17632/8sjny373pz.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
