Datasets:
label: add semantic masks + annotations for 57 images (115 classes)
Browse files- README.md +142 -32
- annotations/train.json +0 -0
- data/train-00000-of-00001.parquet +2 -2
- labelmap.txt +20 -0
README.md
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---
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dtype: image
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- name: timestamp_ms
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dtype: int64
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- name: width
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dtype: int64
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- name: height
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dtype: int64
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- name: machine_id
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dtype: string
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- name: image_id
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dtype: string
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- name: instance_mask
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dtype: image
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- name: semantic_mask
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dtype: image
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- name: review_status
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dtype: string
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splits:
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- name: train
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num_bytes: 0
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num_examples: 224
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download_size: 0
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dataset_size: 0
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---
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| 1 |
---
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license: apache-2.0
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task_categories:
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- image-segmentation
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tags:
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- semantic-segmentation
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- coco
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size_categories:
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- n<1K
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---
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# ndimensions/semantic-segmentation
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Semantic segmentation dataset in COCO format with direct index masks.
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## Classes (115 total)
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| ID | Name | Color (RGB) |
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|---:|------|-------------|
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| 20 |
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| 0 | background | (0, 0, 0) |
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| 21 |
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| 1 | cabinet | (57, 107, 229) |
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| 2 | chair | (135, 210, 31) |
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| 3 | monitor | (191, 66, 175) |
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| 4 | desk | (57, 229, 200) |
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| 5 | curtain | (210, 128, 31) |
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| 6 | door | (97, 66, 191) |
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| 7 | vent | (64, 229, 57) |
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| 8 | light | (210, 31, 91) |
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| 9 | trash can | (66, 144, 191) |
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| 10 | bed | (215, 229, 57) |
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| 11 | mop | (172, 31, 210) |
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| 12 | fire extinguisher | (66, 191, 128) |
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| 13 | mattress | (229, 92, 57) |
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| 14 | furniture | (31, 46, 210) |
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| 15 | roll | (113, 191, 66) |
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| 16 | box | (229, 57, 172) |
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| 17 | outlet | (31, 203, 210) |
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| 18 | refrigerator | (191, 159, 66) |
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| 19 | painting | (135, 57, 229) |
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| 20 | oven | (31, 210, 60) |
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| 21 | vase | (191, 66, 82) |
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| 22 | lamp | (57, 129, 229) |
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| 23 | toy | (158, 210, 31) |
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| 24 | hinge | (190, 66, 191) |
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| 25 | mirror | (57, 229, 178) |
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| 26 | range hood | (210, 105, 31) |
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| 27 | handle | (82, 66, 191) |
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| 28 | appliance | (86, 229, 57) |
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| 29 | jacket | (210, 31, 114) |
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| 30 | air conditioner | (66, 160, 191) |
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| 51 |
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| 31 | robot | (229, 221, 57) |
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| 32 | rod | (150, 31, 210) |
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| 33 | pole | (66, 191, 113) |
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| 34 | bag | (229, 70, 57) |
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| 35 | laptop | (31, 69, 210) |
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| 36 | closet | (129, 191, 66) |
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| 37 | light switch | (229, 57, 194) |
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| 38 | blanket | (31, 210, 194) |
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| 39 | fabric | (191, 144, 66) |
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| 40 | bed frame | (113, 57, 229) |
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| 41 | bedding | (31, 210, 38) |
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| 42 | fixture | (191, 66, 98) |
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| 43 | light fixture | (57, 151, 229) |
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| 44 | printer | (181, 210, 31) |
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| 45 | cord | (174, 66, 191) |
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| 46 | toilet | (57, 229, 156) |
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| 47 | toilet seat | (210, 82, 31) |
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| 48 | shoe | (66, 67, 191) |
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| 49 | picture frame | (108, 229, 57) |
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| 50 | bin | (210, 31, 137) |
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| 51 | person | (66, 176, 191) |
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| 52 | wheelchair | (229, 199, 57) |
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| 53 | speaker | (127, 31, 210) |
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| 54 | heater | (66, 191, 97) |
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| 55 | microwave | (229, 57, 65) |
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| 56 | dishwasher | (31, 92, 210) |
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| 57 | 3d printer | (145, 191, 66) |
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| 58 | radiator | (229, 57, 216) |
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| 59 | vacuum cleaner | (31, 210, 171) |
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| 60 | tripod | (191, 128, 66) |
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| 61 | drawer | (91, 57, 229) |
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| 62 | cardboard | (47, 210, 31) |
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| 63 | power strip | (191, 66, 114) |
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| 64 | suitcase | (57, 173, 229) |
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| 65 | coat | (204, 210, 31) |
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| 66 | table | (159, 66, 191) |
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| 67 | whiteboard | (57, 229, 134) |
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| 68 | object | (210, 59, 31) |
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| 69 | paper | (66, 83, 191) |
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| 70 | backpack | (130, 229, 57) |
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| 71 | coat rack | (210, 31, 159) |
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| 72 | sign | (66, 191, 190) |
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| 73 | monitor arm | (229, 177, 57) |
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| 74 | mat | (104, 31, 210) |
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| 75 | cushion | (66, 191, 81) |
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| 76 | electronic | (229, 57, 87) |
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| 77 | blind | (31, 115, 210) |
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| 98 |
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| 78 | basket | (161, 191, 66) |
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| 79 | cloth | (220, 57, 229) |
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| 80 | coffee maker | (31, 210, 148) |
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| 81 | toilet paper | (191, 112, 66) |
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| 82 | power outlet | (69, 57, 229) |
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| 83 | post | (70, 210, 31) |
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| 84 | container | (191, 66, 130) |
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| 85 | drill | (57, 195, 229) |
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| 86 | clothing | (210, 193, 31) |
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| 107 |
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| 87 | shelving unit | (143, 66, 191) |
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| 108 |
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| 88 | helmet | (57, 229, 112) |
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| 109 |
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| 89 | pillow | (210, 36, 31) |
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| 90 | camera | (66, 99, 191) |
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| 91 | equipment | (152, 229, 57) |
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| 92 | gpu | (210, 31, 182) |
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| 113 |
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| 93 | water dispenser | (66, 191, 174) |
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| 94 | computer | (229, 155, 57) |
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| 95 | cable | (81, 31, 210) |
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| 116 |
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| 96 | pipe | (68, 191, 66) |
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| 117 |
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| 97 | book | (229, 57, 109) |
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| 98 | shelf | (31, 138, 210) |
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| 99 | rug | (177, 191, 66) |
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| 100 | paper towel | (198, 57, 229) |
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| 101 | dumbbell | (31, 210, 126) |
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| 102 | computer tower | (191, 96, 66) |
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| 103 | storage container | (57, 66, 229) |
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| 104 | towel | (93, 210, 31) |
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| 105 | decoration | (191, 66, 146) |
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| 106 | bottle | (57, 217, 229) |
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| 127 |
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| 107 | toolbox | (210, 170, 31) |
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| 108 | workbench | (127, 66, 191) |
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| 109 | picture | (57, 229, 90) |
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| 110 | shade | (210, 31, 49) |
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| 111 | clamp | (66, 115, 191) |
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| 112 | stand | (174, 229, 57) |
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| 113 | adapter | (210, 31, 205) |
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| 114 | device | (66, 191, 158) |
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## Files
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- `annotations/train.json`: COCO format annotations
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- `labelmap.txt`: Class definitions with colors
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## Statistics
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- Samples: 57
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- Classes: 115
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- Split: train
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annotations/train.json
CHANGED
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The diff for this file is too large to render.
See raw diff
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data/train-00000-of-00001.parquet
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2db1aafe1eb62c139542e721563a3fb7ce449524778e8bab8d3c03478feb169
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size 19921298
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labelmap.txt
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gpu:210:31:182::
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water dispenser:66:191:174::
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computer:229:155:57::
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gpu:210:31:182::
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water dispenser:66:191:174::
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computer:229:155:57::
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cable:81:31:210::
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pipe:68:191:66::
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book:229:57:109::
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shelf:31:138:210::
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rug:177:191:66::
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paper towel:198:57:229::
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dumbbell:31:210:126::
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computer tower:191:96:66::
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storage container:57:66:229::
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towel:93:210:31::
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decoration:191:66:146::
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bottle:57:217:229::
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toolbox:210:170:31::
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workbench:127:66:191::
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picture:57:229:90::
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shade:210:31:49::
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clamp:66:115:191::
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stand:174:229:57::
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adapter:210:31:205::
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device:66:191:158::
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