datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gelsight-force-estimation
Dataset Details
This dataset contains paired tactile and force data, intended for use in predicting 3-axis normal and shear forces applied to the sensor's elastomer. We used three different indenter shapes to collect force-labeled data: hemisphere, sharp, and flat. To measure force ground truths, we employed the ATI nano17 force/torque sensor. The protocol consisted of applying a random normal load (up to 3N) followed by a shear load, achieved by sliding the probe 2mm on the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/gelsight-force-estimation.KITTI-Depth-Estimation3D_Visual_Illusion_Depth_Estimation
3D Visual Illusion Depth Estimation Dataset
Dataset Summary
The 3D Visual Illusion Depth Estimation Dataset is designed for research on stereo and monocular depth estimation in 3D visual illusion scenes.It contains left and right stereo images, depth maps estimated from DepthAnything V2, and illusion-region masks.
Dataset Structure
Each sample in the dataset includes:
left: Left-view RGB image
right: Right-view RGB image
depth: Monocularly estimated depth… See the full description on the dataset page: https://huggingface.co/datasets/AdamYao/3D_Visual_Illusion_Depth_Estimation.ECCV_Event_Video_Depth_Estimation
Event-Guided Video Depth Estimation Workshop Dataset
This dataset is a mirrored and aligned workshop-ready version of the DVD event-guided video depth estimation data.
It packages each scene into a canonical folder tree that aligns:
low-light RGB frames
per-frame event slices
a scene-level lowlight_event.npz
the matched depth ground truth copied from inference_results/*/normal/depth.npz
The dataset is designed for direct upload to Hugging Face as a dataset repository.
The official… See the full description on the dataset page: https://huggingface.co/datasets/Ethanliang99/ECCV_Event_Video_Depth_Estimation.Nuscenes_depth_estimationForest_Depth_Estimation_by_Frost_Head
Forest Depth Estimation by Frost Head
Overview
The Frost Head Forest Depth Estimation Dataset is a comprehensive collection of synthetic forest images generated using Unreal Engine 5. This dataset is specifically designed for advanced forest depth estimation research and related applications in the field of computer vision and environmental analysis.
Dataset Construction
The Frost Head Forest Depth Estimation Dataset is constructed using advanced rendering… See the full description on the dataset page: https://huggingface.co/datasets/frosthead/Forest_Depth_Estimation_by_Frost_Head.Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation
Drone-based Agricultural Dataset for Crop Yield Estimation
This repository contains a comprehensive dataset of cashew, cocoa and coffee images captured by drones, accompanied by meticulously annotated labels. To facilitate object detection, each image is paired with a corresponding text file in YOLO format. The YOLO format file contains annotations, including class labels and bounding box coordinates.
The dataset was collected by teams from Ghana (KaraAgro AI) and Uganda… See the full description on the dataset page: https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation.age-estimation-kids-faces-datasetKids and teens face dataset for age estimation tasks. This children face dataset contains images of kids and teens with accurate age labels, perfect for training age estimation models, young faces recognition, and age-based face dataset applications. Includes face dataset with age metadata for each subject
10,000+ selfies | Verified age labels | 10-30 years | Multi-ethnic
The Problem
New age-gating laws (COPPA 2.0, EU DSA, Australia Social Media Act) require apps to detect… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/age-estimation-kids-faces-dataset.building_height_estimation
Building Contour Detection and Height Estimation Problem
Dataset Summary
The building_height_estimation dataset is a collection of satellite images with annotated building footprints (polygons) and corresponding building heights.
It is designed for the joint tasks of building contour detection (segmentation) and height estimation (regression) from monocular aerial images.
Source & Owner: The dataset originates from the AlgoTester Building Contour Detection & Height… See the full description on the dataset page: https://huggingface.co/datasets/MElHuseyni/building_height_estimation.multi-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.normal_map_estimationpose_estimation5.1
Pose Estimation Dataset
Duality AI released a 1000 image dataset for pose estimation, including images, masks, and labels -- and it's 100% free!
Just create an EDU account by clicking here.
This HuggingFace dataset is a 20 image and label sample divided into train and val folders, but you can get the rest at no cost by creating an EDU account. Once you verify your email, the link will redirect you to the dataset page.
What makes this dataset unique, useful, and capable… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/pose_estimation5.1.pose_estimation
Pose Estimation Dataset
UPDATE: We have a new pose estimation dataset at: https://huggingface.co/datasets/duality-robotics/pose_estimation5.1
This new dataset highlights the updated visuals of FalconEditor version 5.1. Go check it out!
Overview
This dataset is designed for pose estimation tasks, focusing on determining the position and orientation of an object in 3D space. The dataset includes images, masks, and labels for both training and validation, making… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/pose_estimation.Yield-EstimationDrone-based-Agricultural-Dataset-for-Crop-Yield-Estimation
Drone-based Agricultural Dataset for Crop Yield Estimation
This repository contains a comprehensive dataset of cashew, cocoa and coffee images captured by drones, accompanied by meticulously annotated labels. To facilitate object detection, each image is paired with a corresponding text file in YOLO format. The YOLO format file contains annotations, including class labels and bounding box coordinates.
The dataset was collected by teams from Ghana (KaraAgro AI) and Uganda… See the full description on the dataset page: https://huggingface.co/datasets/Kisseh/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation.Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation
Drone-based Agricultural Dataset for Crop Yield Estimation
This repository contains a comprehensive dataset of cashew, cocoa and coffee images captured by drones, accompanied by meticulously annotated labels. To facilitate object detection, each image is paired with a corresponding text file in YOLO format. The YOLO format file contains annotations, including class labels and bounding box coordinates.
The dataset was collected by teams from Ghana (KaraAgro AI) and Uganda… See the full description on the dataset page: https://huggingface.co/datasets/valeromorahf/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation.mbg-2511-pose-estimation-no_shapes-labeled
mbg-2511-pose-estimation-no_shapes-labeled
Summary
TRAIN: 26,817 samples
height_cls: 11 classes, balance 4.0%-13.4%
weight_cls: 11 classes, balance 7.0%-10.0%
bmi_cls: 10 classes, balance 8.4%-11.3%
pants_cls: 8 classes, balance 7.8%-18.1%
shirt_cls: 6 classes, balance 4.3%-30.3%
TEST: 2,977 samples
height_cls: 11 classes, balance 3.7%-12.8%
weight_cls: 11 classes, balance 6.8%-10.2%
bmi_cls: 10 classes, balance 9.0%-11.7%
pants_cls: 8 classes, balance… See the full description on the dataset page: https://huggingface.co/datasets/alecccdd/mbg-2511-pose-estimation-no_shapes-labeled.physics_estimationmbg-2511-pose-estimation-no_shapes-labeled-norm-bboxdisp_estimationmbg-2511-pose-estimation-fullmbg-2511-pose-estimation-no_shapes