Datasets:

cubert-gmbh
/

XMR_Industrial_Foreign_Object_Detection_Lentils

@@ -1,158 +1,157 @@
-# Splits Verification Report
-This report is the proof artifact for `splits.csv` in this dataset repo. It
-documents every check that was run when remapping the original asai2
-single-cu3s splits CSV onto the merged-file layout shipped here.
-All numbers below are reproducible — run the scripts in `D:/hf_upload_staging/`:
-- `build_index.py` — parses `.info` files into `frame_index.csv`
-- `build_splits.py` — joins the asai2 CSV against the index to emit `splits.csv`
-- `build_per_subfolder_coco.py` — slices the canonical day-root COCO into per-subfolder JSONs
-- `roundtrip_check.py` — opens 44 sampled merged cu3s frames and asserts on-disk frame name matches the predicted camera frame number
-## Inputs (with sha256)
-| File | sha256 |
-|---|---|
-| `asai2_singlefile_splits.csv` (from `asai2:/mnt/data/cuvis ai backup folders not committed/lentils_splits.csv`) | `21ebc87800a8fd61846c83d7261d77cdadf7a68b4cdd73d314f73a0051817c3b` |
-| `frame_index.csv` (derived from `.info` files) | `a9ded98b39426cba1dbfd93f025a868d93bf36adba66998151eec231250e0c95` |
-| `splits.csv` (emitted) | `e12b40aaae4d63853b489b23b5178a238ee85412b83ee278b7e4ee4ad954f84f` |
-## 1. Coverage — every asai2 row maps to exactly one merged-file row
-- asai2 CSV rows: **1136**
-- frame_index.csv rows: **1136**
-- Keys in index but not in asai2: **0**
-- Keys in asai2 but not in index: **0**
-✅ Coverage exact, no missing or extra rows.
-## 2. Per-day frame counts
-| Day | Subfolders | Saved frames (info → index) | Canonical day-root COCO images | asai2 CSV image_id range |
-|---|---|---|---|---|
-| day2 | 6 | 384 | 384 | 0..383 |
-| day3 | 6 | 492 | 492 | 0..491 |
-| day4 | 3 | 260 | 260 | 0..259 |
-| **Total** | **15** | **1,136** | **1,136** | **—** |
-Matches `whitepaper/dataset_summary.json` exactly.
-## 3. Per-subfolder coverage (15 / 15 reconciled)
-For each subfolder, the saved-frame count in the `.info` file matches the
-`images` count in the pre-existing per-subfolder JSON (where one exists) and
-fully accounts for the day's saved frames when summed in time order.
-| Day | Subfolder | Saved frames | Pre-existing JSON imgs | global_id range |
-|---|---|---:|---:|---|
-| day2 | 2026_03_03_11-11-01     |   2 | (none, normal) | 0..1     |
-| day2 | 2026_03_03_11-31-31     |  17 | (none, normal) | 2..18    |
-| day2 | 2026_03_03_11-38-39     |  81 | (none, normal) | 19..99   |
-| day2 | 2026_03_03_13-58-04_1   |  96 | (none, normal) | 100..195 |
-| day2 | 2026_03_03_13-58-04_2   | 136 | 136 | 196..331 |
-| day2 | 2026_03_03_15-25-02     |  52 |  52 | 332..383 |
-| day3 | 2026_03_10_10-17-20     |  84 |  84 | 0..83    |
-| day3 | 2026_03_10_10-58-55     |  36 |  36 | 84..119  |
-| day3 | 2026_03_10_11-30-45     | 120 | (none, normal) | 120..239 |
-| day3 | 2026_03_10_12-00-18     |  40 |  40 | 240..279 |
-| day3 | 2026_03_10_14-32-01     |  92 |  92 | 280..371 |
-| day3 | 2026_03_10_15-12-17     | 120 | 120 | 372..491 |
-| day4 | 2026_03_17_11-11-50     |  80 |  80 | 0..79    |
-| day4 | 2026_03_17_11-41-54     |  80 |  80 | 80..159  |
-| day4 | 2026_03_17_14-38-58     | 100 | 100 | 160..259 |
-✅ Every pre-existing per-subfolder JSON's image count equals the count of
-   saved frames in the same subfolder's `.info` file.
-Subfolders without a JSON (`*11-11-01`, `*11-31-31`, `*11-38-39`,
-`*13-58-04_1`, `*11-30-45`) are **normal/background captures** (no foreign
-objects present). They still contribute frames to the splits via the asai2 CSV
-with `has_annotation=0`.
-## 4. Annotation-equivalence — per-subfolder slice = canonical day-root slice
-For each subfolder where a pre-existing per-subfolder JSON exists, the regenerated
-`<subfolder>.json` (sliced from the canonical day-root COCO with image_ids rebased)
-agrees on three independent measures:
-| Day | Subfolder | Pre-existing anns | Generated anns | Match | Per-class multiset match |
-|---|---|---:|---:|---|---|
-| day2 | 13-58-04_2 | 276 | 276 | ✅ | ✅ |
-| day2 | 15-25-02   |  92 |  92 | ✅ | ✅ |
-| day3 | 10-17-20   |  84 |  84 | ✅ | ✅ |
-| day3 | 10-58-55   |  36 |  36 | ✅ | ✅ |
-| day3 | 12-00-18   |  80 |  80 | ✅ | ✅ |
-| day3 | 14-32-01   |  88 |  88 | ✅ | ✅ |
-| day3 | 15-12-17   | 360 | 360 | ✅ | ✅ |
-| day4 | 11-11-50   | 260 | 260 | ✅ | ✅ |
-| day4 | 11-41-54   | 120 | 120 | ✅ | ✅ |
-| day4 | 14-38-58   | 140 | 140 | ✅ | ✅ |
-| **Total** | | **1,536** | **1,536** | ✅ | ✅ |
-The 1,536 figure matches `whitepaper/dataset_summary.json["object_counts"]` exactly.
-Category-id block in every per-subfolder JSON is byte-identical to the canonical
-day-root: `0=Unlabeled, 1=stem_k, 2=stone, 3=alu_shard, 4=blue_paper, 5=white_paper, 6=fly, 7=rubber`.
-## 5. Split-preservation — distribution identical to asai2
-| Split | asai2 row count | merged splits.csv row count | match |
-|---|---:|---:|---|
-| train | 808 | 808 | ✅ |
-| val   | 148 | 148 | ✅ |
-| test  | 180 | 180 | ✅ |
-| **Total** | **1136** | **1136** | ✅ |
-Ratio (71.13 / 13.03 / 15.85 %) matches whitepaper §"Splits".
-### Per-(day, split) annotated-frame counts
-| | train | val | test |
-|---|---:|---:|---:|
-| day2 | 136 | 24 | 28 |
-| day3 | 228 | 52 | 48 |
-| day4 | 136 |  8 | 36 |
-| **All** | **500** | **84** | **112** |
-(asai2 and merged splits.csv produce identical values for every cell.)
-## 6. No-leakage — no group_id straddles two splits
-`splits.csv` preserves the asai2 `group_id` column (4-frame lighting-quad
-grouping, `<day>_g<NNNNNN>`).
-- Total distinct group_ids: 284
-- Group_ids whose rows span more than one split: **0**
-✅ No information leakage across the train/val/test boundary at the
-   lighting-quad level.
-## 7. Round-trip — physical-frame check via cuvis SDK
-44 frames (≈3 per subfolder: first, middle, last) sampled across all 15
-merged cu3s files. For each, opened the cu3s with `cuvis.SessionFile`,
-fetched `get_measurement(local_image_id)`, and confirmed `measurement.name`
-ends in the same camera frame number that the index predicts.
-- Sampled frames: **44**
-- Passes: **44**
-- Failures: **0**
-Sample-of-the-samples:
-| day / subfolder | local_image_id | global_image_id | expected camera frame | mesu.name |
-|---|---:|---:|---:|---|
-| day2 / 2026_03_03_15-25-02 | 0  | 332 | 152  | `Auto_000_0152` |
-| day2 / 2026_03_03_15-25-02 | 26 | 358 | …    | `Auto_000_…` (✓) |
-| day3 / 2026_03_10_15-12-17 | 119| 491 | …    | `Auto_000_…` (✓) |
-| day4 / 2026_03_17_11-11-50 | 0  | 0   | 1992 | `Auto_000_1992` |
-(Full record: `roundtrip_report.json`.)
-## Result
-All seven checks pass without exception. `splits.csv` is verified to be a
-**byte-faithful** remapping of the asai2 single-cu3s split onto this
-dataset's merged-file layout. No frame is lost, no annotation is moved,
-and no split is altered.

+# Splits Verification Report
+This report is the proof artifact for `splits.csv` in this dataset repo. It
+documents every check that was run when remapping the original asai2
+single-cu3s splits CSV onto the merged-file layout shipped here.
+All numbers below are reproducible — run the scripts in `D:/hf_upload_staging/`:
+- `build_index.py` — parses `.info` files into `frame_index.csv`
+- `build_splits.py` — joins the asai2 CSV against the index to emit `splits.csv`
+- `build_per_subfolder_coco.py` — slices the canonical day-root COCO into per-subfolder JSONs
+- `roundtrip_check.py` — opens 44 sampled merged cu3s frames and asserts on-disk frame name matches the predicted camera frame number
+## Inputs (with sha256)
+| File | sha256 |
+|---|---|
+| `frame_index.csv` (derived from `.info` files) | `a9ded98b39426cba1dbfd93f025a868d93bf36adba66998151eec231250e0c95` |
+| `splits.csv` (emitted) | `e12b40aaae4d63853b489b23b5178a238ee85412b83ee278b7e4ee4ad954f84f` |
+## 1. Coverage — every asai2 row maps to exactly one merged-file row
+- asai2 CSV rows: **1136**
+- frame_index.csv rows: **1136**
+- Keys in index but not in asai2: **0**
+- Keys in asai2 but not in index: **0**
+✅ Coverage exact, no missing or extra rows.
+## 2. Per-day frame counts
+| Day | Subfolders | Saved frames (info → index) | Canonical day-root COCO images | asai2 CSV image_id range |
+|---|---|---|---|---|
+| day2 | 6 | 384 | 384 | 0..383 |
+| day3 | 6 | 492 | 492 | 0..491 |
+| day4 | 3 | 260 | 260 | 0..259 |
+| **Total** | **15** | **1,136** | **1,136** | **—** |
+Matches `whitepaper/dataset_summary.json` exactly.
+## 3. Per-subfolder coverage (15 / 15 reconciled)
+For each subfolder, the saved-frame count in the `.info` file matches the
+`images` count in the pre-existing per-subfolder JSON (where one exists) and
+fully accounts for the day's saved frames when summed in time order.
+| Day | Subfolder | Saved frames | Pre-existing JSON imgs | global_id range |
+|---|---|---:|---:|---|
+| day2 | 2026_03_03_11-11-01     |   2 | (none, normal) | 0..1     |
+| day2 | 2026_03_03_11-31-31     |  17 | (none, normal) | 2..18    |
+| day2 | 2026_03_03_11-38-39     |  81 | (none, normal) | 19..99   |
+| day2 | 2026_03_03_13-58-04_1   |  96 | (none, normal) | 100..195 |
+| day2 | 2026_03_03_13-58-04_2   | 136 | 136 | 196..331 |
+| day2 | 2026_03_03_15-25-02     |  52 |  52 | 332..383 |
+| day3 | 2026_03_10_10-17-20     |  84 |  84 | 0..83    |
+| day3 | 2026_03_10_10-58-55     |  36 |  36 | 84..119  |
+| day3 | 2026_03_10_11-30-45     | 120 | (none, normal) | 120..239 |
+| day3 | 2026_03_10_12-00-18     |  40 |  40 | 240..279 |
+| day3 | 2026_03_10_14-32-01     |  92 |  92 | 280..371 |
+| day3 | 2026_03_10_15-12-17     | 120 | 120 | 372..491 |
+| day4 | 2026_03_17_11-11-50     |  80 |  80 | 0..79    |
+| day4 | 2026_03_17_11-41-54     |  80 |  80 | 80..159  |
+| day4 | 2026_03_17_14-38-58     | 100 | 100 | 160..259 |
+✅ Every pre-existing per-subfolder JSON's image count equals the count of
+   saved frames in the same subfolder's `.info` file.
+Subfolders without a JSON (`*11-11-01`, `*11-31-31`, `*11-38-39`,
+`*13-58-04_1`, `*11-30-45`) are **normal/background captures** (no foreign
+objects present). They still contribute frames to the splits via the asai2 CSV
+with `has_annotation=0`.
+## 4. Annotation-equivalence — per-subfolder slice = canonical day-root slice
+For each subfolder where a pre-existing per-subfolder JSON exists, the regenerated
+`<subfolder>.json` (sliced from the canonical day-root COCO with image_ids rebased)
+agrees on three independent measures:
+| Day | Subfolder | Pre-existing anns | Generated anns | Match | Per-class multiset match |
+|---|---|---:|---:|---|---|
+| day2 | 13-58-04_2 | 276 | 276 | ✅ | ✅ |
+| day2 | 15-25-02   |  92 |  92 | ✅ | ✅ |
+| day3 | 10-17-20   |  84 |  84 | ✅ | ✅ |
+| day3 | 10-58-55   |  36 |  36 | ✅ | ✅ |
+| day3 | 12-00-18   |  80 |  80 | ✅ | ✅ |
+| day3 | 14-32-01   |  88 |  88 | ✅ | ✅ |
+| day3 | 15-12-17   | 360 | 360 | ✅ | ✅ |
+| day4 | 11-11-50   | 260 | 260 | ✅ | ✅ |
+| day4 | 11-41-54   | 120 | 120 | ✅ | ✅ |
+| day4 | 14-38-58   | 140 | 140 | ✅ | ✅ |
+| **Total** | | **1,536** | **1,536** | ✅ | ✅ |
+The 1,536 figure matches `whitepaper/dataset_summary.json["object_counts"]` exactly.
+Category-id block in every per-subfolder JSON is byte-identical to the canonical
+day-root: `0=Unlabeled, 1=stem_k, 2=stone, 3=alu_shard, 4=blue_paper, 5=white_paper, 6=fly, 7=rubber`.
+## 5. Split-preservation — distribution identical to asai2
+| Split | asai2 row count | merged splits.csv row count | match |
+|---|---:|---:|---|
+| train | 808 | 808 | ✅ |
+| val   | 148 | 148 | ✅ |
+| test  | 180 | 180 | ✅ |
+| **Total** | **1136** | **1136** | ✅ |
+Ratio (71.13 / 13.03 / 15.85 %) matches whitepaper §"Splits".
+### Per-(day, split) annotated-frame counts
+| | train | val | test |
+|---|---:|---:|---:|
+| day2 | 136 | 24 | 28 |
+| day3 | 228 | 52 | 48 |
+| day4 | 136 |  8 | 36 |
+| **All** | **500** | **84** | **112** |
+(asai2 and merged splits.csv produce identical values for every cell.)
+## 6. No-leakage — no group_id straddles two splits
+`splits.csv` preserves the asai2 `group_id` column (4-frame lighting-quad
+grouping, `<day>_g<NNNNNN>`).
+- Total distinct group_ids: 284
+- Group_ids whose rows span more than one split: **0**
+✅ No information leakage across the train/val/test boundary at the
+   lighting-quad level.
+## 7. Round-trip — physical-frame check via cuvis SDK
+44 frames (≈3 per subfolder: first, middle, last) sampled across all 15
+merged cu3s files. For each, opened the cu3s with `cuvis.SessionFile`,
+fetched `get_measurement(local_image_id)`, and confirmed `measurement.name`
+ends in the same camera frame number that the index predicts.
+- Sampled frames: **44**
+- Passes: **44**
+- Failures: **0**
+Sample-of-the-samples:
+| day / subfolder | local_image_id | global_image_id | expected camera frame | mesu.name |
+|---|---:|---:|---:|---|
+| day2 / 2026_03_03_15-25-02 | 0  | 332 | 152  | `Auto_000_0152` |
+| day2 / 2026_03_03_15-25-02 | 26 | 358 | …    | `Auto_000_…` (✓) |
+| day3 / 2026_03_10_15-12-17 | 119| 491 | …    | `Auto_000_…` (✓) |
+| day4 / 2026_03_17_11-11-50 | 0  | 0   | 1992 | `Auto_000_1992` |
+(Full record: `roundtrip_report.json`.)
+## Result
+All seven checks pass without exception. `splits.csv` is verified to be a
+**byte-faithful** remapping of the asai2 single-cu3s split onto this
+dataset's merged-file layout. No frame is lost, no annotation is moved,
+and no split is altered.