datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vlmn_tartandrive100_scand50_coda25_spot100_sub5_full_augmentation_processed_10
Trajectory Ranking Dataset
This dataset contains trajectory ranking results for autonomous navigation scenarios.
Dataset Statistics
Total examples: 39558
Chunks processed: 40
Upload date: 2025-09-13T00:44:30.335177
Features
Image data with terrain analysis
Trajectory rankings and reasoning
Quality and diversity analysis
Terrain and trajectory descriptions
Concept_Targeted_Causal_Images
Dataset Card for Concept-Targeted Causal Images
Dataset Summary
Concept-Targeted Causal Images is a concept-centric image dataset designed for studying causal visual representations in the brain. For each concept, the dataset contains three complementary image types:
Positive images that clearly depict the target concept
Semantic negatives that are visually or semantically related to the concept, but do not satisfy it
Counterfactual edits created by editing… See the full description on the dataset page: https://huggingface.co/datasets/BrainCause/Concept_Targeted_Causal_Images.taro_blight_stage_classification
Taro Blight Stage Disease Classification
A dataset for image classification of Taro blight stage. The dataset contains 18,248 images across 4 classes: Early_Blight, Healthy, Late_Blight, Mid_Blight.
Images per class:
Early_Blight: 4,864
Healthy: 8,744
Late_Blight: 1,270
Mid_Blight: 3,370
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{nwaneto2025image,
title={Image dataset of Taro Leaf Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/taro_blight_stage_classification.ai-tool-pool-jewelry-vision
AI Tool Pool Jewelry Vision Dataset
Dataset Description
This dataset contains 5,130 jewelry images organized into 5 categories for computer vision tasks. The dataset was originally created and hosted on Roboflow Universe.
Categories
Bracelet: Bracelet jewelry images
Earrings: Earring jewelry images
Necklace: Necklace jewelry images
Pendant: Pendant jewelry images
Ring: Ring jewelry images
Dataset Structure
AI-Tool-Pool-Jewelry-Vision/
├── train/… See the full description on the dataset page: https://huggingface.co/datasets/Tarunhugging/ai-tool-pool-jewelry-vision.nwpu-resisc45-v1
NWPU-RESISC45
Train/val split manifests extracted from GeoChat_Instruct
for fine-tuning vision-language models on satellite scene classification.
This Hub dataset includes a real image column so the dataset viewer shows the image,
question, and answer aligned row-by-row.
Classes
45 scene categories (e.g. airplane, baseball diamond, beach, bridge, …)
Splits
Split
Samples
train
~25 200
val
~4 725
Format
Columns:
image (previewable… See the full description on the dataset page: https://huggingface.co/datasets/tarek199147/nwpu-resisc45-v1.Alzheimer_MRI
Alzheimer_MRI Disease Classification Dataset
The Falah/Alzheimer_MRI Disease Classification dataset is a valuable resource for researchers and health medicine applications. This dataset focuses on the classification of Alzheimer's disease based on MRI scans. The dataset consists of brain MRI images labeled into four categories:
'0': Mild_Demented
'1': Moderate_Demented
'2': Non_Demented
'3': Very_Mild_Demented
Dataset Information
Train split:
Name: train
Number of… See the full description on the dataset page: https://huggingface.co/datasets/tarun2605/Alzheimer_MRI.