datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bananamark-dataset
🍌 Bananamark - Who has the best Bananas?
Google released a model called Nano Banana. We had to know: is it actually good at generating bananas?
Turns out, not as good as FLUX 2 or Seedream 4!
What we did
We tested 11 image generation models on various banana-themed prompts and collected over 20'000 human preferences using the Rapidata Python API. Annotators were asked a simple question:
Which image has the better bananas?
Want to evaluate your own models? Check out… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/bananamark-dataset.Musa_banana_tier_classification
Musa Banana Tier Classification
This dataset contains real RGB images of banana tiers (post-harvest segments of Musa acuminata bunches) captured in a controlled laboratory environment across locations in the Philippines. Images were acquired using a fixed-position A4Tech PK-910H camera, providing standardized visual data for tier classification research in agricultural settings. The dataset contains 1,164 images across 4 classes: 1, 2, 3, 4.Images per class:
1: 390
2: 294
3:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Musa_banana_tier_classification.banana_guava_quality_classification
Banana Guava Quality Classification
A dataset for quality classification of bananas and guavas. The dataset contains 1,748 images across 3 classes: Class_A, Class_B, Defect.Images per class:
Class_A: 671
Class_B: 469
Defect: 608
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kumari2024banana,
title={Banana and Guava dataset for machine learning and deep learning-based quality classification}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_guava_quality_classification.banana_grade_variety_classification
Banana Grade Variety Classification
A dataset for image classification of Banana Grade Variety Classification. The dataset contains 31,678 images across 3 classes: EGS109, EG2S125, EG3S113.Images per class:
EGS109: 27
EG2S125: 55
EG3S113: 46
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{guru2025banana,
title={Banana bunch image and video dataset for variety classification and grading}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_grade_variety_classification.