datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UAV-SEAD_State_Estimation_Anomaly_Datasetgelsight-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.UAV-SEAD_State_Estimation_Anomaly_Datasetdigit-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 5N) 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/digit-force-estimation.KITTI-Depth-Estimationdigit-pose-estimation
Dataset Details
This dataset contains time-synchronized pairs of DIGIT images and SE(3) object poses. In our setup, the robot hand is stationary with its palm facing downwards and pressing against the object on a table. The robot hand has DIGIT sensors mounted on the index, middle, and ring fingertips, all of which are in contact with the object. A human manually perturbs the object's pose by translating and rotating it in SE(2). We use tag tracking to obtain the object's pose. We… See the full description on the dataset page: https://huggingface.co/datasets/facebook/digit-pose-estimation.3D_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.FIM-Estimation
Dataset Card for FIM-Estimation
Dataset Description
Dataset Summary
In a FIM-Estimation task, the input consists of the following components:
A dataset of the form $\mathcal{D}_ {train} = {(\mathbf{\lambda}_ i, x_ i)}_ {i=1}^{\left|\mathcal{D}\right|}$, where $\vlambda_ i$ is a point in the parameter space and $x_ i$ is a sample.
The structure of each sample $x_ i$. For example, if $x_ i\in{0,1}^n$ is a bitstring representing a measurement of a quantum system… See the full description on the dataset page: https://huggingface.co/datasets/fiktor/FIM-Estimation.UAV-SEAD_State_Estimation_Anomaly_DatasetNuscenes_depth_estimationsunflower-density-estimation-2024
Dataset Metadata
Identification Information
Citation
Title: Sunflower density estimation dataset from April to July 2024
Originator: Sofia University - Faculty of Mathematics and Informatics, SAP LABS Bulgaria
Publication Date: 2024.11.12
Abstract
Determining plant density in the early stages of crop development is crucial for planning future farming activities.
This metric is essential for assessing germination rates, forecasting yields, and… See the full description on the dataset page: https://huggingface.co/datasets/su-fmi/sunflower-density-estimation-2024.Forest_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.wholebody-pose-estimation-fingerspelling
Whole-Body Pose Estimation Dataset for German Sign Language (DGS) Finger Alphabet
Dataset Description
This dataset contains 5,000 annotated images for fine-tuning whole-body pose estimation models. The images depict individuals performing signs from the German Sign Language (Deutsche Gebärdensprache) finger alphabet.
The frames were extracted and annotated from the video dataset available at:[https://huggingface.co/datasets/fhswf/dgs-pose]
Key Features… See the full description on the dataset page: https://huggingface.co/datasets/fhswf/wholebody-pose-estimation-fingerspelling.satellite-reservoir-estimation-data
satellite-reservoir-estimation — task inputs
Agent-visible input bundle for the satellite-reservoir-estimation task in
Terminal-Bench-Science.
Pulled at container build time, pinned to an immutable commit and verified against
per-file SHA-256 sums.
This repository deliberately does not identify the site. The task withholds the
reservoir's identity from the agent, and this card is reachable from inside the
agent container by way of the checksum manifest, so naming the site here… See the full description on the dataset page: https://huggingface.co/datasets/NamburiSrinath/satellite-reservoir-estimation-data.Multi-modal_dataset_for_LiDAR-Aided_CSI_Estimation
Dataset for "Synesthesia of Machines-Enhanced Wideband Multi-User CSI Learning with LiDAR Sensing"
📌 Overview
This dataset is constructed based on urban crossroad scenario from the M3SC dataset and includes CSI data between a roadside unit and three passing vehicles, as well as 64-line LiDAR point cloud data collected by the roadside devices (processed using the lightweight data processing approach proposed in the paper). The dataset contains a total of 4,500 samples… See the full description on the dataset page: https://huggingface.co/datasets/pku-pcni-lab/Multi-modal_dataset_for_LiDAR-Aided_CSI_Estimation.digit-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 5N) 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/Bbbbbhyyyy/digit-force-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/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.pose_estimationThe dataset is primarly intended to dentify and predict the positions of major
joints of a human body in an image. It consists of people's photographs with
body part labeled with keypoints.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.BRANCH-k-estimation
Dataset Name
Privacy Risk Estimation – Synthetic User Posts
Description
This dataset contains 50 synthetic English-language user posts intended for evaluating privacy risk estimation models. Each post simulates a plausible user-generated message that might contain varying degrees of sensitive information.
Format
50 files in .xlsx format
Each file contains 1 user post, annotated several for multiple different attempts.
Columns:
Subreddit: subreddit name of the… See the full description on the dataset page: https://huggingface.co/datasets/jonathanqzheng/BRANCH-k-estimation.dpo_answer_openorca_base_nathan_2e-6_0.02_1.7B_4B_with_gold_labels_kl_estimationCode-Generation-Quality-Estimation
Code Generation Quality Estimation
This repository contains model-ready task context, generated code, and complete-case execution-resource targets for five public LLM code-generation cohorts. It provides deterministic 70/10/20 group-aware split versions using seeds 42, 1234, and 2026.
Configurations
There are 15 configurations: one for each dataset and split seed. Each configuration has train, validation, and test splits.
Dataset
Complete rows
Groups
Models… See the full description on the dataset page: https://huggingface.co/datasets/Samsoup/Code-Generation-Quality-Estimation.SWE-bench_Lite_oracle_2_estimationmulti-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.paper_latella_2023_irim_muscle-force-estimation_dataset
Real-time Lower Leg Muscle Forces Estimation using a Hill-type Model and Whole-body Wearable Sensors
Claudia Latella, Antonella Tatarelli, Lorenzo Fiori, Riccardo Grieco, Lorenzo Rapetti, Daniele Pucci
5th Italian Conference in Robotics and Intelligent Machines (I-RIM), 2023
📂 Dataset
The dataset is related to a subject (S01) acquisition with 5 trials. Each trial folder is organized as follows:
a .tdf file containing the EMG acquisition via BTS Engineering surface… See the full description on the dataset page: https://huggingface.co/datasets/ami-iit/paper_latella_2023_irim_muscle-force-estimation_dataset.3D_Visual_Illusion_Depth_Estimation_Real
3D Visual Illusion Depth Estimation Dataset Real
Dataset Summary
The 3D Visual Illusion Depth Estimation Dataset Real is designed for research on stereo and monocular depth estimation in 3D visual illusion scenes.It contains left and right stereo images, disparity map, 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 map
mask: Binary… See the full description on the dataset page: https://huggingface.co/datasets/AdamYao/3D_Visual_Illusion_Depth_Estimation_Real.dpo_thinking_with_gold_labels_kl_estimationrepro-improved-distribution-estimation-in-ell-infty-traces
Agent traces
Agent sessions published from a Trackio Logbook.