Datasets:

ndimensions
/

semantic-segmentation

@@ -1,94 +1,34 @@
 ---
-license: apache-2.0
-task_categories:
-  - image-segmentation
-tags:
-  - semantic-segmentation
-  - coco
-size_categories:
-  - n<1K
 ---
-# ndimensions/semantic-segmentation
-Semantic segmentation dataset in COCO format with direct index masks.
-## Classes (65 total)
-| ID | Name | Color (RGB) |
-|---:|------|-------------|
-| 0 | background | (0, 0, 0) |
-| 1 | cabinet | (57, 107, 229) |
-| 2 | chair | (135, 210, 31) |
-| 3 | monitor | (191, 66, 175) |
-| 4 | desk | (57, 229, 200) |
-| 5 | curtain | (210, 128, 31) |
-| 6 | door | (97, 66, 191) |
-| 7 | vent | (64, 229, 57) |
-| 8 | light | (210, 31, 91) |
-| 9 | trash can | (66, 144, 191) |
-| 10 | bed | (215, 229, 57) |
-| 11 | mop | (172, 31, 210) |
-| 12 | fire extinguisher | (66, 191, 128) |
-| 13 | mattress | (229, 92, 57) |
-| 14 | furniture | (31, 46, 210) |
-| 15 | roll | (113, 191, 66) |
-| 16 | box | (229, 57, 172) |
-| 17 | outlet | (31, 203, 210) |
-| 18 | refrigerator | (191, 159, 66) |
-| 19 | painting | (135, 57, 229) |
-| 20 | oven | (31, 210, 60) |
-| 21 | vase | (191, 66, 82) |
-| 22 | lamp | (57, 129, 229) |
-| 23 | toy | (158, 210, 31) |
-| 24 | hinge | (190, 66, 191) |
-| 25 | mirror | (57, 229, 178) |
-| 26 | range hood | (210, 105, 31) |
-| 27 | handle | (82, 66, 191) |
-| 28 | appliance | (86, 229, 57) |
-| 29 | jacket | (210, 31, 114) |
-| 30 | air conditioner | (66, 160, 191) |
-| 31 | robot | (229, 221, 57) |
-| 32 | rod | (150, 31, 210) |
-| 33 | pole | (66, 191, 113) |
-| 34 | bag | (229, 70, 57) |
-| 35 | laptop | (31, 69, 210) |
-| 36 | closet | (129, 191, 66) |
-| 37 | light switch | (229, 57, 194) |
-| 38 | blanket | (31, 210, 194) |
-| 39 | fabric | (191, 144, 66) |
-| 40 | bed frame | (113, 57, 229) |
-| 41 | bedding | (31, 210, 38) |
-| 42 | fixture | (191, 66, 98) |
-| 43 | light fixture | (57, 151, 229) |
-| 44 | printer | (181, 210, 31) |
-| 45 | cord | (174, 66, 191) |
-| 46 | toilet | (57, 229, 156) |
-| 47 | toilet seat | (210, 82, 31) |
-| 48 | shoe | (66, 67, 191) |
-| 49 | picture frame | (108, 229, 57) |
-| 50 | bin | (210, 31, 137) |
-| 51 | person | (66, 176, 191) |
-| 52 | wheelchair | (229, 199, 57) |
-| 53 | speaker | (127, 31, 210) |
-| 54 | heater | (66, 191, 97) |
-| 55 | microwave | (229, 57, 65) |
-| 56 | dishwasher | (31, 92, 210) |
-| 57 | 3d printer | (145, 191, 66) |
-| 58 | radiator | (229, 57, 216) |
-| 59 | vacuum cleaner | (31, 210, 171) |
-| 60 | tripod | (191, 128, 66) |
-| 61 | drawer | (91, 57, 229) |
-| 62 | cardboard | (47, 210, 31) |
-| 63 | power strip | (191, 66, 114) |
-| 64 | suitcase | (57, 173, 229) |
-## Files
-- `annotations/train.json`: COCO format annotations
-- `labelmap.txt`: Class definitions with colors
-## Statistics
-- Samples: 113
-- Classes: 65
-- Split: train

 ---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: timestamp_ms
+    dtype: int64
+  - name: width
+    dtype: int64
+  - name: height
+    dtype: int64
+  - name: machine_id
+    dtype: string
+  - name: image_id
+    dtype: string
+  - name: instance_mask
+    dtype: image
+  - name: semantic_mask
+    dtype: image
+  - name: review_status
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 167
+  download_size: 0
+  dataset_size: 0
 ---
+# Semantic Segmentation Dataset

data/train-00000-of-00001.parquet CHANGED Viewed

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