datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pixel-prerender-java-articlepixel-dataset-prerender-java-wikipediajava_plum_leaf_disease_classification
Java Plum Leaf Disease Classification
A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.Images per class:
Bacterial_Spot: 400
Brown_Blight: 400
Dry: 400
Healthy: 400
Powdery_Mildew: 400
Sooty_Mold: 400
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/java_plum_leaf_disease_classification.NusaAksara-java
Dataset Card for "NusaAksara-java"
More Information needed
prerender-java-testpixel-dataset-prerender-java-sentence-wikipedialabeled-invoice-dfVQA_ON_LOCO
Fatima Fellowship Application
In this task, we are asked to identify the blind spots of a recently introduced model.
Choice of Model
For this task, I selected Qwen3-VL-4B-Instruct, which is described in its model card on Hugging Face as the most powerful vision-language model in the Qwen series to date. The model contains 4 billion parameters and was released four months prior to the writing of this document.
In the model card, the authors highlight several breakthroughs.… See the full description on the dataset page: https://huggingface.co/datasets/javadKV8/VQA_ON_LOCO.imagespixel-dataset-prerender-java-wikipedia-validation