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Intel Robotics — Second Look dataset
Recorded data, detector annotations, and QC evidence from Second Look, a Physical AI challenge project pairing an SO-101 robotic arm with Anomalib defect detection and a VLA policy. Source code and docs live in the paired GitHub repository (not included here — see below).
This is a working project dataset, not a finished benchmark. Several pieces are explicitly flagged below as unverified; read those notes before training on this data.
Contents
| Path | What it is |
|---|---|
artifacts/recording/ |
LeRobot-format episode recordings, capture manifests, QC reports, ACT loader smoke tests |
artifacts/cv/ |
Anomalib detector captures, annotations, and coverage reports |
artifacts/discovery/ |
Environment/hardware discovery evidence |
artifacts/verification/ |
Intel deployment verification checks, benchmarks |
artifacts/models/h100-patchcore-v3/ |
Frozen LEGO PatchCore detector (H100 fit; Torch + OpenVINO IR) used by the Intel pilot |
artifacts/cv/local-cpu-patchcore-*/ |
Earlier local CPU PatchCore fits and their evaluation images (superseded by the H100 model) |
artifacts/placement/ |
Receipts for the 27-episode placement dataset: audit, split, encoder manifest, sampled visual QC, H100 transfer receipt |
pc-context/local/observations/ |
Local observation logs from the Intel PC |
The five-episode recorded pilot
artifacts/recording/pilot-five-20260916T004831Z/ — the main recorded
dataset. Real teleop demonstrations, SO-101 follower arm, two cameras.
- 5 episodes, 3,249 frames, 30 fps, two task captions ("pick up a good piece" / "pick up a defective piece").
- State/action: 6-dim, joint order
shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos, normalized units. - Cameras: low (1920x1080) and high (1280x720), AV1-encoded, gap-free timestamps across all 3,249 frames.
- Structural, decode, and native ACT-loader checks pass. Not verified:
defect/bin correctness, inter-camera/camera-to-joint synchronization,
specimen or session independence. See
qc-readonly/reports alongside the snapshot for details. - Detector annotations over all 3,249 frames are in
artifacts/cv/: 2,614 rows are invalid/no-inference, and the 635 scored rows are all flagged anomalous withtarget_association=UNKNOWN. Detector-conditioned sorting training is blocked on this data — the annotations don't yet establish which detection corresponds to which manipulated object.
Placement dataset (receipts only)
artifacts/placement/ holds receipts for a later 27-episode inspection-to-bin
recording (15 BLUE / GOOD, 12 PINK / BAD, 16,981 frames, frozen 17/5/5 split,
manifest SHA-256 943b9964…). The episode videos themselves are still only on
the Intel PC and are not in this dataset yet. No policy has been trained
on them.
License
Not yet assigned — ask the maintainer before reuse.
Related
- Source code, docs, and handoff state: github.com/ohong/intel-robotics
(start with
README.mdandAGENT_STATE.md). - Project status: paused September 23, 2026. Inspection pilot only; no autonomous physical trials.
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