datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.image-splicing-deepfake-mix-newlore-forge-outimage-splicing-deepfake-mixmulti-target-spacecraft-pose-estimation
Multi-target Synthetic Dataset for Spacecraft Pose Estimation
Overview
This dataset was developed for 6D pose estimation of unseen, non-cooperative spacecraft in proximity-operations scenarios. Most existing datasets focus on a single target, which leads models to overfit to a specific spacecraft and limits their ability to generalize to previously unseen targets.
To address this limitation, the present dataset is multi-target and includes a wide variety of spacecraft… See the full description on the dataset page: https://huggingface.co/datasets/lorenzobottelli/multi-target-spacecraft-pose-estimation.lo-res-10fps-recorder-test3lo-res-30fps-recorder-test2osworld_tasks_filesbrain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
blurred-sharp-pairsLoreleiPokemonSasha-lore
license: mit
pretty_name: Sasha-lora
--- Sasha LoRA
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