datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Agri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset
Agri-LLaVA
Agri-LLaVA is a large multimodal instruction dataset for agriculture, pairing crop/leaf images with multi-turn diagnostic conversations about plant diseases, pests, and nutrient deficiencies. It is compiled from 16 public source datasets (see the license table below).
This dataset has been converted to Parquet format with image bytes embedded directly, standardized to the HF image_text_to_text format with a single conversational messages schema.
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Agri-LLaVA_Agricultural_Pests_And_Diseases_Feature_Alignment_Dataset.pear-pests-dataset
🍐 Pear Leaf Pest & Disease Detection Dataset
This dataset supports object detection for pear leaf health monitoring: locating and classifying an insect pest and fungal/bacterial disease lesions directly on pear leaf images. It targets the timely detection and localization of foliar pear pests and diseases central to precision agriculture, where manual agronomist inspection is labor-intensive, subjective, and hard to scale.
The dataset consists of 2,210 annotated images (1,542… See the full description on the dataset page: https://huggingface.co/datasets/salahkhenfer/pear-pests-dataset.pests-2xlvx
Dataset Card for pests-2xlvx
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
pests-2xlvx
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/pests-2xlvx.agricultural_pests_and_diseases_datasetsagricultural_pests_gemma4pests
