datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
object_classification-preset-gemini
object_classification-preset-gemini
Real-robot teleoperation episodes of the object_classification task on a single-arm Franka Research 3 cell (80 episodes, 28,569 frames at 10 fps,
released as Myungkyu/object_classification) with dense high-level labels produced by the TACOR offline annotator:
Gemini 3.7 Flash reads each whole episode as one video clip (one sample every 10 frames = 1.0 s) and labels every sampled frame given only the
subtask preset of the task - the label list… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/object_classification-preset-gemini.object_classification
object_classification
Real-robot teleoperation demonstrations of the object_classification task on a single-arm Franka Research 3 cell,
released in four LeRobot layouts. Every layout is a conversion of the same 80 raw episodes
(28,569 frames at 10 Hz); the layouts differ only in the LeRobot codebase version and in the
action representation.
directory
LeRobot version
action (action)
consumer
lerobot_v21_abs_joint/
v2.1
8-D absolute joint targets + gripper
RLDX-1 loader… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/object_classification.E-BARD-ObjectClassificationTitle: Basketball-Related Objects Classification Dataset
Relation to Paper: Developed as an additional sub-task to demonstrate how the precise detection of basketball-related objects from E-BARD can be leveraged for domain-specific classification, which significantly improved the performance of the fine-tuned EBQwen 3B model.
Dataset Statistics:
Consists of 22,210 human-annotated basketball-related entities.
Objects are categorized into predefined classes: basketball, hoop, player, and… See the full description on the dataset page: https://huggingface.co/datasets/GabrieleGiudici/E-BARD-ObjectClassification.