leaves
Datasets
All datasets matching “leaves”task_book_leavesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 38,
"total_frames": 8664,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:38"
},
"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/rli14/task_book_leaves.task_pour_leavesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 15685,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/rli14/task_pour_leaves.task_pull_leavesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 9649,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/rli14/task_pull_leaves.Coffee_leaves_sections_FO
Dataset Card for coffee_leaves_anomalib_2
This is a FiftyOne dataset with 35962 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/Coffee_leaves_sections_FO")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Coffee_leaves_sections_FO.leaves-of-grass
leaves of grass
The following is a dataset for training a model to generate text in the style of Walt Whitman's "Leaves of Grass".
The idea with this dataset is to provide a single line (input) and then provide the next lines (1 to 10 lines) of the poem as output.
A model can then be trained to generate lines of poems given a single line of input.
There is a generate_data.py script that can be used to generate the dataset.
It keeps some formatting. New lines may be indented by a… See the full description on the dataset page: https://huggingface.co/datasets/diversen/leaves-of-grass.tomato-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/lorenzoxi/tomato-leaves-dataset.
