Datasets:

LK-ROBOTICS
/

nxp-sf-train-balanced

@@ -22,10 +22,10 @@ latest_revision: v2
 - stable repo: `LK-ROBOTICS/nxp-sf-train-balanced`
 - latest revision: `v2`
-- current upload path: `revisions/v2`
 ## Revisions
 | revision | path | note |
 |---|---|---|
 | v2 | `revisions/v2` | latest balanced revision |

 - stable repo: `LK-ROBOTICS/nxp-sf-train-balanced`
 - latest revision: `v2`
 ## Revisions
 | revision | path | note |
 |---|---|---|
+| v1 | `revisions/v1` | original balanced revision |
 | v2 | `revisions/v2` | latest balanced revision |

revisions/v1/.gitattributes ADDED Viewed

	@@ -0,0 +1,5 @@

+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

revisions/v1/BUILD_MANIFEST.yaml ADDED Viewed

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+dataset_id: nxp_sf_train_balanced_v1
+seed: nxp_sf_train_balanced_v1_seed42
+classes:
+  0: fire
+  1: smoke
+splits:
+  train:
+    images: 8177
+    label_files: 8177
+    fire_boxes: 7432
+    smoke_boxes: 5662
+    empty_label_files: 1967
+    by_source:
+      kaggle_sf_train_dfire_sampled5k_v1:
+        images: 4000
+        fire_boxes: 4056
+        smoke_boxes: 3274
+        empty_label_files: 800
+      roboflow_sf_train_b_v1:
+        images: 1170
+        fire_boxes: 1100
+        smoke_boxes: 706
+        empty_label_files: 64
+      roboflow_sf_train_daegu_v1:
+        images: 800
+        fire_boxes: 0
+        smoke_boxes: 0
+        empty_label_files: 800
+      roboflow_sf_train_a_v1:
+        images: 1563
+        fire_boxes: 2022
+        smoke_boxes: 1440
+        empty_label_files: 0
+      roboflow_sf_train_anguk_v1:
+        images: 558
+        fire_boxes: 254
+        smoke_boxes: 139
+        empty_label_files: 298
+      roboflow_sf_train_gongduk_v1:
+        images: 86
+        fire_boxes: 0
+        smoke_boxes: 103
+        empty_label_files: 5
+  val:
+    images: 1361
+    label_files: 1361
+    fire_boxes: 1327
+    smoke_boxes: 1048
+    empty_label_files: 259
+    by_source:
+      kaggle_sf_train_dfire_sampled5k_v1:
+        images: 500
+        fire_boxes: 492
+        smoke_boxes: 411
+        empty_label_files: 100
+      roboflow_sf_train_a_v1:
+        images: 374
+        fire_boxes: 516
+        smoke_boxes: 400
+        empty_label_files: 0
+      roboflow_sf_train_b_v1:
+        images: 306
+        fire_boxes: 286
+        smoke_boxes: 208
+        empty_label_files: 19
+      roboflow_sf_train_anguk_v1:
+        images: 70
+        fire_boxes: 33
+        smoke_boxes: 15
+        empty_label_files: 40
+      roboflow_sf_train_daegu_v1:
+        images: 100
+        fire_boxes: 0
+        smoke_boxes: 0
+        empty_label_files: 100
+      roboflow_sf_train_gongduk_v1:
+        images: 11
+        fire_boxes: 0
+        smoke_boxes: 14
+        empty_label_files: 0
+  test:
+    images: 1035
+    label_files: 1035
+    fire_boxes: 914
+    smoke_boxes: 749
+    empty_label_files: 241
+    by_source:
+      roboflow_sf_train_anguk_v1:
+        images: 69
+        fire_boxes: 31
+        smoke_boxes: 21
+        empty_label_files: 33
+      kaggle_sf_train_dfire_sampled5k_v1:
+        images: 500
+        fire_boxes: 492
+        smoke_boxes: 401
+        empty_label_files: 100
+      roboflow_sf_train_a_v1:
+        images: 211
+        fire_boxes: 256
+        smoke_boxes: 216
+        empty_label_files: 0
+      roboflow_sf_train_daegu_v1:
+        images: 100
+        fire_boxes: 0
+        smoke_boxes: 0
+        empty_label_files: 100
+      roboflow_sf_train_b_v1:
+        images: 144
+        fire_boxes: 135
+        smoke_boxes: 98
+        empty_label_files: 7
+      roboflow_sf_train_gongduk_v1:
+        images: 11
+        fire_boxes: 0
+        smoke_boxes: 13
+        empty_label_files: 1
+sources:
+  kaggle_sf_train_dfire_sampled5k_v1:
+    train:
+      selected: 4000
+      mode: native_all
+    val:
+      selected: 500
+      mode: native_all
+    test:
+      selected: 500
+      mode: native_all
+  roboflow_sf_train_a_v1:
+    train:
+      selected: 1563
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 500
+    val:
+      selected: 374
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 100
+    test:
+      selected: 211
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 50
+  roboflow_sf_train_b_v1:
+    train:
+      selected: 1170
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 400
+    val:
+      selected: 306
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 80
+    test:
+      selected: 144
+      mode: smoke_plus_fire_cap
+      fire_only_cap: 40
+  roboflow_sf_train_anguk_v1:
+    train:
+      selected: 558
+      mode: resplit_80_10_10
+    val:
+      selected: 70
+      mode: resplit_80_10_10
+    test:
+      selected: 69
+      mode: resplit_80_10_10
+  roboflow_sf_train_daegu_v1:
+    train:
+      selected: 800
+      mode: resplit_80_10_10
+    val:
+      selected: 100
+      mode: resplit_80_10_10
+    test:
+      selected: 100
+      mode: resplit_80_10_10
+  roboflow_sf_train_gongduk_v1:
+    train:
+      selected: 86
+      mode: resplit_80_10_10
+    val:
+      selected: 11
+      mode: resplit_80_10_10
+    test:
+      selected: 11
+      mode: resplit_80_10_10

revisions/v1/README.md ADDED Viewed

	@@ -0,0 +1,118 @@

+---
+task_categories:
+  - object-detection
+license: other
+tags:
+  - image
+  - yolo
+  - patrol
+  - safety
+  - fire-detection
+  - smoke-detection
+  - sf
+pretty_name: "NXP SF Balanced Fire/Smoke Dataset v1"
+language:
+  - ko
+size_categories:
+  - 10K<n<100K
+---
+# NXP SF Balanced Fire/Smoke Dataset v1
+## 개요
+`nxp_sf_train_balanced_v1`은 NXP `lk_vision_patroller`의 전면 화재/연기 탐지 후보 모델을 학습하기 위한 YOLO 형식의 2-class SF(smoke/fire) 데이터셋입니다.
+클래스 스키마는 다음으로 고정합니다.
+```yaml
+0: fire
+1: smoke
+```
+이 데이터셋은 원본 import를 직접 수정한 것이 아니라, MMS/Perception 데이터셋 체계의 `stage` 산출물로 요리한 최종 학습 snapshot입니다.
+## 구성
+- 포맷: YOLO detection (`images/` + `labels/*.txt`)
+- split:
+  - `train/images`, `train/labels`
+  - `val/images`, `val/labels`
+  - `test/images`, `test/labels`
+- 총 이미지 수: 10,573
+- 총 box 수:
+  - fire: 9,673
+  - smoke: 7,459
+- empty-label 이미지 수: 2,467
+| split | images | fire boxes | smoke boxes | empty-label images |
+|---|---:|---:|---:|---:|
+| train | 8,177 | 7,432 | 5,662 | 1,967 |
+| val | 1,361 | 1,327 | 1,048 | 259 |
+| test | 1,035 | 914 | 749 | 241 |
+## 재료 데이터셋
+이 stage는 아래 재료를 조합해 만들었습니다.
+| source dataset | role | note |
+|---|---|---|
+| `kaggle_sf_train_dfire_sampled5k_v1` | sampled/remapped SF positive + empty negative | 원본 `0=smoke`, `1=fire`를 canonical `0=fire`, `1=smoke`로 remap한 5k 샘플 |
+| `roboflow_sf_train_a_v1` | SF positive | smoke 포함 이미지 우선, fire-only 일부 제한 |
+| `roboflow_sf_train_b_v1` | SF positive | smoke 포함 이미지 우선, fire-only 일부 제한 |
+| `roboflow_sf_train_anguk_v1` | SF derived positive/negative | 원본 PSF Anguk에서 fire/smoke만 별도 파생 |
+| `roboflow_sf_train_daegu_v1` | SF empty-label negative | 원본 Daegu는 person-only이므로 SF 파생본은 empty-label negative |
+| `roboflow_sf_train_gongduk_v1` | SF smoke positive + negative | 원본 Gongduk person/smoke에서 smoke만 SF로 유지 |
+정확한 materialization 기록은 `BUILD_MANIFEST.yaml`을 기준으로 봅니다.
+## 수집 및 가공
+- source import payload는 `/home/jinhyuk2me/lk_ws/ai/vision/perception/datasets/pantry/`에 보관합니다.
+- class remap, sampling, PSF→SF 변환 결과는 `/home/jinhyuk2me/lk_ws/ai/vision/perception/datasets/derived/`에 보관합니다.
+- 본 데이터셋은 여러 pantry/derived 재료를 조합한 `/home/jinhyuk2me/lk_ws/ai/vision/perception/datasets/stage/nxp_sf_train_balanced_v1` stage입니다.
+- Roboflow/Kaggle 원본 import의 `nc` / `names`는 임의 변경하지 않습니다. 필요한 remap은 별도 derived/stage에서만 수행합니다.
+## 사용법
+Ultralytics YOLO 학습 예시:
+```python
+from ultralytics import YOLO
+model = YOLO("yolo11n.pt")
+model.train(
+    data="/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/data-nxp-sf-train-balanced-v1.yaml",
+    imgsz=320,
+    epochs=200,
+    patience=40,
+    batch=64,
+    workers=0,
+)
+```
+MMS 학습 파라미터 예시:
+```json
+{
+  "execute_training": true,
+  "epochs_override": 200,
+  "patience": 40,
+  "batch_override": 64,
+  "imgsz_override": 320,
+  "workers": 0,
+  "run_name": "sf_balanced_v1_e200_img320_b64w0_pat40_20260413",
+  "data_yaml_override": "/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/data-nxp-sf-train-balanced-v1.yaml"
+}
+```
+## 라이선스 및 제한
+이 데이터셋은 Kaggle/D-Fire 계열 데이터와 Roboflow private/exported 데이터가 섞인 mixed-source stage입니다. 모든 LK 데이터셋 HF 업로드는 private repo로 수행해야 합니다. HF metadata의 `license` 필드는 `private` 값을 허용하지 않으므로 보수적으로 `other`로 두며, 공개 배포 전 각 source manifest의 라이선스 및 재배포 조건을 별도로 확인해야 합니다.
+## Provenance
+- dataset id: `nxp_sf_train_balanced_v1`
+- build manifest: `BUILD_MANIFEST.yaml`
+- MMS recipe metadata: `/home/jinhyuk2me/lk_ws/ops/ml-management/lk_mms/datasets/recipes/nxp-sf-train-balanced-v1.yaml`
+- project YAML: `/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/data-nxp-sf-train-balanced-v1.yaml`

revisions/v1/data.yaml ADDED Viewed

	@@ -0,0 +1,203 @@

+path: /home/jinhyuk2me/lk_ws/ai/vision/perception/datasets/stage/nxp_sf_train_balanced_v1
+train: train/images
+val: val/images
+test: test/images
+nc: 2
+names:
+  0: fire
+  1: smoke
+dataset:
+  dataset_id: nxp_sf_train_balanced_v1
+  source: mixed
+  class_scope: sf
+  schema_family: sf
+  role: train
+  variant: balanced
+  version: v1
+  recipe: nxp-sf-train-balanced-v1.yaml
+  storage_tier: stage
+materialization:
+  dataset_id: nxp_sf_train_balanced_v1
+  seed: nxp_sf_train_balanced_v1_seed42
+  classes:
+    0: fire
+    1: smoke
+  splits:
+    train:
+      images: 8177
+      label_files: 8177
+      fire_boxes: 7432
+      smoke_boxes: 5662
+      empty_label_files: 1967
+      by_source:
+        kaggle_sf_train_dfire_sampled5k_v1:
+          images: 4000
+          fire_boxes: 4056
+          smoke_boxes: 3274
+          empty_label_files: 800
+        roboflow_sf_train_b_v1:
+          images: 1170
+          fire_boxes: 1100
+          smoke_boxes: 706
+          empty_label_files: 64
+        roboflow_sf_train_daegu_v1:
+          images: 800
+          fire_boxes: 0
+          smoke_boxes: 0
+          empty_label_files: 800
+        roboflow_sf_train_a_v1:
+          images: 1563
+          fire_boxes: 2022
+          smoke_boxes: 1440
+          empty_label_files: 0
+        roboflow_sf_train_anguk_v1:
+          images: 558
+          fire_boxes: 254
+          smoke_boxes: 139
+          empty_label_files: 298
+        roboflow_sf_train_gongduk_v1:
+          images: 86
+          fire_boxes: 0
+          smoke_boxes: 103
+          empty_label_files: 5
+    val:
+      images: 1361
+      label_files: 1361
+      fire_boxes: 1327
+      smoke_boxes: 1048
+      empty_label_files: 259
+      by_source:
+        kaggle_sf_train_dfire_sampled5k_v1:
+          images: 500
+          fire_boxes: 492
+          smoke_boxes: 411
+          empty_label_files: 100
+        roboflow_sf_train_a_v1:
+          images: 374
+          fire_boxes: 516
+          smoke_boxes: 400
+          empty_label_files: 0
+        roboflow_sf_train_b_v1:
+          images: 306
+          fire_boxes: 286
+          smoke_boxes: 208
+          empty_label_files: 19
+        roboflow_sf_train_anguk_v1:
+          images: 70
+          fire_boxes: 33
+          smoke_boxes: 15
+          empty_label_files: 40
+        roboflow_sf_train_daegu_v1:
+          images: 100
+          fire_boxes: 0
+          smoke_boxes: 0
+          empty_label_files: 100
+        roboflow_sf_train_gongduk_v1:
+          images: 11
+          fire_boxes: 0
+          smoke_boxes: 14
+          empty_label_files: 0
+    test:
+      images: 1035
+      label_files: 1035
+      fire_boxes: 914
+      smoke_boxes: 749
+      empty_label_files: 241
+      by_source:
+        roboflow_sf_train_anguk_v1:
+          images: 69
+          fire_boxes: 31
+          smoke_boxes: 21
+          empty_label_files: 33
+        kaggle_sf_train_dfire_sampled5k_v1:
+          images: 500
+          fire_boxes: 492
+          smoke_boxes: 401
+          empty_label_files: 100
+        roboflow_sf_train_a_v1:
+          images: 211
+          fire_boxes: 256
+          smoke_boxes: 216
+          empty_label_files: 0
+        roboflow_sf_train_daegu_v1:
+          images: 100
+          fire_boxes: 0
+          smoke_boxes: 0
+          empty_label_files: 100
+        roboflow_sf_train_b_v1:
+          images: 144
+          fire_boxes: 135
+          smoke_boxes: 98
+          empty_label_files: 7
+        roboflow_sf_train_gongduk_v1:
+          images: 11
+          fire_boxes: 0
+          smoke_boxes: 13
+          empty_label_files: 1
+  sources:
+    kaggle_sf_train_dfire_sampled5k_v1:
+      train:
+        selected: 4000
+        mode: native_all
+      val:
+        selected: 500
+        mode: native_all
+      test:
+        selected: 500
+        mode: native_all
+    roboflow_sf_train_a_v1:
+      train:
+        selected: 1563
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 500
+      val:
+        selected: 374
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 100
+      test:
+        selected: 211
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 50
+    roboflow_sf_train_b_v1:
+      train:
+        selected: 1170
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 400
+      val:
+        selected: 306
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 80
+      test:
+        selected: 144
+        mode: smoke_plus_fire_cap
+        fire_only_cap: 40
+    roboflow_sf_train_anguk_v1:
+      train:
+        selected: 558
+        mode: resplit_80_10_10
+      val:
+        selected: 70
+        mode: resplit_80_10_10
+      test:
+        selected: 69
+        mode: resplit_80_10_10
+    roboflow_sf_train_daegu_v1:
+      train:
+        selected: 800
+        mode: resplit_80_10_10
+      val:
+        selected: 100
+        mode: resplit_80_10_10
+      test:
+        selected: 100
+        mode: resplit_80_10_10
+    roboflow_sf_train_gongduk_v1:
+      train:
+        selected: 86
+        mode: resplit_80_10_10
+      val:
+        selected: 11
+        mode: resplit_80_10_10
+      test:
+        selected: 11
+        mode: resplit_80_10_10

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF06908.txt ADDED Viewed

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revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF07468.txt ADDED Viewed

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revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF07822.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ 1 0.0546875 0.40694444444444444 0.1015625 0.26944444444444443
2	+ 0 0.030078125 0.4756944444444445 0.055468750000000004 0.11527777777777778

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF07866.txt ADDED Viewed

	@@ -0,0 +1 @@


1	+ 0 0.9724677090414683 0.30073800738007384 0.05098572399728076 0.17835178351783518

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF07976.txt ADDED Viewed

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1	+ 1 0.27221385542168675 0.40625 0.4796686746987952 0.7796052631578947

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_AoF08027.txt ADDED Viewed

	@@ -0,0 +1 @@


1	+ 1 0.9398437500000001 0.20833333333333334 0.065625 0.05

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_PublicDataset01114.txt ADDED Viewed

	@@ -0,0 +1 @@


1	+ 1 0.6166666666666667 0.2625 0.7541666666666667 0.39166666666666666

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10085.txt ADDED Viewed

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revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10283.txt ADDED Viewed

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revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10430.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ 1 0.2946107784431138 0.2868663594470046 0.5676646706586826 0.5552995391705069
2	+ 0 0.5173652694610779 0.5956221198156681 0.09580838323353294 0.07603686635944701

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10501.txt ADDED Viewed

	@@ -0,0 +1,4 @@

+1 0.496 0.3169642857142857 0.894 0.6160714285714286
+0 0.598 0.5803571428571428 0.424 0.06428571428571428
+0 0.2285 0.6053571428571428 0.019 0.03214285714285714
+0 0.3095 0.6017857142857143 0.033 0.02142857142857143

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10558.txt ADDED Viewed

	@@ -0,0 +1,3 @@

+0 0.6141975308641975 0.4822048611111111 0.08333333333333333 0.05989583333333333
+0 0.6612654320987654 0.3138020833333333 0.08487654320987653 0.04427083333333333
+1 0.4922839506172839 0.27604166666666663 0.95679012345679 0.5399305555555556

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10697.txt ADDED Viewed

	@@ -0,0 +1,5 @@

+0 0.18046875 0.48888888888888893 0.1296875 0.13333333333333333
+0 0.36953125000000003 0.4305555555555556 0.0671875 0.1
+0 0.48125 0.41805555555555557 0.078125 0.13055555555555556
+0 0.55390625 0.4569444444444445 0.0390625 0.06944444444444445
+1 0.46015625000000004 0.2652777777777778 0.7359375 0.5083333333333333

revisions/v1/test/labels/kaggle_sf_train_dfire_sampled5k_v1_test_WEB10780.txt ADDED Viewed

	@@ -0,0 +1,7 @@

+0 0.36640625000000004 0.625 0.2484375 0.5611111111111111
+0 0.08828125 0.4027777777777778 0.1765625 0.16666666666666669
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