LTH4663/fod_object_class_baseline_2cam_20260920

This dataset was created using LeRobot.

Dataset Description

FOD Object-Class Baseline (C1, preprocessed train split)

This is the train-ready conventional object-name baseline for the FOD grasp-strategy study. It is derived from LTH4663/fod_shape_grasp_2cam_20260920 at source revision e50dcb297991a529f2e56249bb97315ba15a4963 using the same label-neutral frame inventory that will be used for the automatic OBS condition.

• 171 training episodes and 55,062 frames at 25 FPS
• two cameras: top/scene (view_1) and wrist/contact (view_2)
• 21 physical training objects assigned to 7 observed semantic object classes
• source episodes 0-80 and 135-224 only
• source episodes 81-134 (Screwdriver and Wire) are reserved for development evaluation
• source episodes 225-253 (no-object stationary recordings) are excluded
• each episode keeps the common motion window, five-frame guard, and one 50-frame terminal hold
• no synthetic padding and no image augmentation baked into the files

meta/object_class_manifest.csv maps every derived episode and frame range to the immutable source. meta/preprocessing_contract.json, meta/source_provenance.json, and meta/c1_validation_report.json record the frozen processing contract and checks.

Status: train-ready provisional common core. Calibrated Q is still pending; if Q rejects an episode, exactly the same episode must be removed from all C0-C3 conditions.

• Homepage: [More Information Needed]
• Paper: [More Information Needed]
• License: apache-2.0

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 25,
    "features": {
        "action": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.images.view_1": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 25,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.view_2": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 25,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 171,
    "total_frames": 55062,
    "total_tasks": 7,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "so_follower",
    "splits": {
        "train": "0:171"
    }
}

Citation

BibTeX:

[More Information Needed]