datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ML-Proto-Datasetsingle_objectrobosuite_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 875,
"total_frames": 12575,
"total_tasks": 2,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:875"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/ML-GOD/single_objectrobosuite_dataset.deprem_satellite_semantic_whu_dataset
Dataset Card for "deprem_satellite_semantic_whu_dataset"
More Information needed
extended_TBE_datasetheader_dataset_24_06body_dataset_9_08header-dataset-10-03body_dataset_30_06header_dataset_14_07body_dataset_26_05body_dataset_chandarana_scnqntheader_dataset_17_08body_dataset_02_07drawings-datasetrevision-dataset-1pdf2image-dataset-unrevisedtomato-leaves-dataset
Tomato Leaves Dataset
Overview
This dataset contains images of tomato leaves categorized into different classes based on the type of disease or health condition. The dataset is divided into training, validation, and test sets, with a ratio of 8:1:1. The classes include various diseases as well as healthy leaves. The dataset includes both augmented and non-augmented images.
Dataset Structure
The dataset is organized into three main splits:
train
validation
test… See the full description on the dataset page: https://huggingface.co/datasets/laiba-farid-ml/tomato-leaves-dataset.combined-datasetupdated-JSON-datasetAmazon-Ml-Challenge-2024-Datasetpdf2image-dataset-unrevised-correctedbody_dataset_12_07cultural-arts-ifx-dataset-splitnameplate-dataset-v1body-dataset-10-03flattened_nameplate_datasetcwe-workshop-datasetog_tbe_datasetAmazon-ML-Challenge-2024-Dataset-Cleanedheader_dataset_22_05