datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Phygital_Interaction
Phygital Interaction
An Android application that uses AI-powered object detection to identify Kinder Joy toys in real time through a smartphone camera.
The project focuses on building a reliable on-device detection system using a custom-trained YOLO model and ONNX Runtime.
Simply point the camera at a supported Kinder Joy toy, and the application detects and identifies it.
📱 How It Works
Physical Kinder Joy Toy
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Camera Input
↓… See the full description on the dataset page: https://huggingface.co/datasets/karthi1008/Phygital_Interaction.Surgeons-Robotic-Interaction-Scene-Classification-Dataset
Surgeons-Robotic Interaction Scene Classification Dataset
The current medical industry faces challenges of insufficient precision and lack of smooth human-robot collaboration in the application of surgical robots. Existing solutions often lack high-quality training data, which limits the intelligent decision-making and operational capabilities of robots. This dataset aims to solve the recognition and judgment problems of robots in complex surgical environments by providing rich… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Surgeons-Robotic-Interaction-Scene-Classification-Dataset.interaction-readiness-detection-dataset-frame-path-version
Interaction Readiness Dataset (Public version)
This repository contains person-level interaction-readiness annotations derived from the AVIDAR, JRDB, and SSUP-HRI datasets.
Each row represents one target person in one video frame. The row contains the complete frame, the target person's bounding box, and the corresponding interaction-readiness label.
This public repository contains the processed interaction-readiness annotations and does not redistribute the original source… See the full description on the dataset page: https://huggingface.co/datasets/marilynchahine1/interaction-readiness-detection-dataset-frame-path-version.