apple
Datasets
All datasets matching “apple”DataCompDR-1B
Dataset Card for DataCompDR-1B
This dataset contains synthetic captions, embeddings, and metadata for DataCompDR-1B.
The metadata has been generated using pretrained image-text models on DataComp-1B.
For details on how to use the metadata, please visit our github repository.
Dataset Details
Dataset Description
DataCompDR is an image-text dataset and an enhancement to the DataComp dataset.
We reinforce the DataComp dataset using our multi-modal… See the full description on the dataset page: https://huggingface.co/datasets/apple/DataCompDR-1B.Apples_HSI
Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam
This repository accompanies our study on non-destructive sugar content estimation in apple jam using VNIR hyperspectral imaging (HSI) and machine learning. It includes a reproducible set of Jupyter notebooks covering preprocessing, dataset construction, and model training/evaluation with classical ML and deep learning.
Dataset
The Apples_HSI dataset is… See the full description on the dataset page: https://huggingface.co/datasets/issai/Apples_HSI.apple-app-store-labels-policiesTiC-DataComp
Dataset Card for TiC-DataComp
This dataset containts metadata for TiC-DataComp benchmark for time-continual learning of image-text models.
The dataset containts timestamp information for DataComp-1B in the form of UIDs groupings by year/month sourced from the original CommonCrawl.
We also release UIDs for our TiC-DataCompNet and TiC-DataComp-Retrieval evaluations for continual learning of CLIP models.
For details on how to use the metadata, please visit our github repository.… See the full description on the dataset page: https://huggingface.co/datasets/apple/TiC-DataComp.GSM-Symbolic
GSM-Symbolic
This project accompanies the research paper, GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
Getting Started
In our first release, we provide data for GSM-Symbolic, GSM-Symbolic-P1, and GSM-Symbolic-P2 variants. For each variant, we have released both templates (available on Github), and a sample of generated data that can be used for evaluation.
To load the data, you can use the following code. Note that in… See the full description on the dataset page: https://huggingface.co/datasets/apple/GSM-Symbolic.AppleGrowthVision
Dataset Card for AppleGrowthVision
This is a FiftyOne dataset with 11,397
groups (21,407 samples) of apple orchard imagery.
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("Voxel51/AppleGrowthVision")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/AppleGrowthVision.