Datasets:

dgural
/

droid-frames-workshop

annotations_creators: []
language: en
license: cc-by-4.0
size_categories:
  - 1K<n<10K
task_categories:
  - object-detection
task_ids: []
pretty_name: droid-frames
tags:
  - droid
  - fiftyone
  - image
  - manipulation
  - object-detection
  - object-detection
  - robotics
  - workshop
description: >-
  5,172 RGB frames (1 fps, 640 px) decoded from the camera streams of 75 DROID
  robot-arm episodes, for the Nebius x Voxel51 Physical AI workshop. Every frame
  keeps its episode_id, camera and timestamp plus the robot state at that
  instant (gripper_open, joint_speed_norm, ee_linear_speed), and carries: CLIP
  embeddings with similarity (frames_sim) and UMAP (frames_viz) brain runs,
  uniqueness, near-duplicate tags, an episode-level train/val split, Grounding
  DINO open-vocabulary auto-labels (auto_labels), YOLO11n predictions from a
  Nebius Serverless AI Jobs fine-tune (yolo11n_preds) and the evaluation run
  eval_yolo. Derived from DROID (https://droid-dataset.github.io), CC-BY-4.0.
dataset_summary: >



  ![image/png](dataset_preview.jpg)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 5172
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  from fiftyone.utils.huggingface import load_from_hub


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = load_from_hub("dgural/droid-frames-workshop")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

Dataset Card for droid-frames

This is a FiftyOne dataset with 5172 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("dgural/droid-frames-workshop")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): en
License: cc-by-4.0

Dataset Sources [optional]

Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Dataset Card Authors [optional]

[More Information Needed]

Dataset Card Contact

[More Information Needed]