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XP Robotics Multi-Camera Episodes (3-cam)

A multimodal multi-camera egocentric dataset released by XP Robotics, captured on an XP Robotics wearable multi-camera rig. Each episode provides synchronized first-person camera views with inertial and audio signals.

Overview

  • 179 episodes, 18.7 hours total
  • 3 synchronized cameras per episode (front, down, side)
  • Per-camera AV1 compressed video with a JSON timestamp map aligning frames to capture time
  • IMU and USB-microphone audio on each episode

Recording schema

Topic Encoding Schema Description
/camera/<view>/image_raw/compressed protobuf foxglove.CompressedVideo AV1 video for each camera view (front, down, side)
/camera/<view>/image_raw/compressed/timestamp_map json xphi.VideoTimestampMap Per-frame camera id, frame id, and capture timestamps
/imu/front json sensor_msgs/Imu Inertial measurement (orientation, angular velocity, acceleration)
/audio/usb_mic/raw protobuf foxglove.RawAudio Microphone audio

Each episode also carries an xphi.custom metadata record with recording details (scene, task, date, and collection fields).

Files

xphi-3-cam-dataset/
  metadata.csv
  xphi_3cam_001.mcap
  ...
  xphi_3cam_179.mcap

Files are named uniformly xphi_3cam_<NNN>.mcap, numbered by recording start time. metadata.csv lists each file with its camera set, audio/IMU presence, duration, size, start time, and message count.

Reading the data

Video and audio use protobuf encoding; the IMU and timestamp maps use JSON. Decode the protobuf topics with the mcap and mcap-protobuf-support packages:

from mcap.reader import make_reader
from mcap_protobuf.decoder import DecoderFactory

with open("xphi_3cam_001.mcap", "rb") as f:
    reader = make_reader(f, decoder_factories=[DecoderFactory()])
    for schema, channel, message, proto in reader.iter_decoded_messages(topics=["/camera/front/image_raw/compressed"]):
        print(channel.topic, message.log_time)
pip install mcap mcap-protobuf-support

The JSON topics can be read directly from the raw message bytes as UTF-8 JSON.

Attribution

Collected and released by XP Robotics.

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