Datasets:
Tasks:
Object Detection
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
< 1K
License:
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -18,116 +18,11 @@ task_categories:
|
|
| 18 |
task_ids:
|
| 19 |
- instance-segmentation
|
| 20 |
pretty_name: mb-boulder_det
|
| 21 |
-
configs:
|
| 22 |
-
- config_name: default
|
| 23 |
-
data_files:
|
| 24 |
-
- split: train
|
| 25 |
-
path: data/train-*
|
| 26 |
-
- split: val
|
| 27 |
-
path: data/val-*
|
| 28 |
-
- split: test
|
| 29 |
-
path: data/test-*
|
| 30 |
-
- split: 0.50x_partition
|
| 31 |
-
path: data/0.50x_partition-*
|
| 32 |
-
- split: 0.20x_partition
|
| 33 |
-
path: data/0.20x_partition-*
|
| 34 |
-
- split: 0.05x_partition
|
| 35 |
-
path: data/0.05x_partition-*
|
| 36 |
-
- split: 0.10x_partition
|
| 37 |
-
path: data/0.10x_partition-*
|
| 38 |
-
- split: 0.25x_partition
|
| 39 |
-
path: data/0.25x_partition-*
|
| 40 |
-
dataset_info:
|
| 41 |
-
features:
|
| 42 |
-
- name: image
|
| 43 |
-
dtype: image
|
| 44 |
-
- name: width
|
| 45 |
-
dtype: int64
|
| 46 |
-
- name: height
|
| 47 |
-
dtype: int64
|
| 48 |
-
- name: yolo_annotation
|
| 49 |
-
struct:
|
| 50 |
-
- name: bbox
|
| 51 |
-
sequence:
|
| 52 |
-
sequence: float32
|
| 53 |
-
- name: category
|
| 54 |
-
sequence: string
|
| 55 |
-
- name: coco_annotation
|
| 56 |
-
struct:
|
| 57 |
-
- name: image_id
|
| 58 |
-
dtype: int64
|
| 59 |
-
- name: annotations
|
| 60 |
-
sequence:
|
| 61 |
-
- name: id
|
| 62 |
-
dtype: int64
|
| 63 |
-
- name: image_id
|
| 64 |
-
dtype: int64
|
| 65 |
-
- name: category_id
|
| 66 |
-
dtype: int64
|
| 67 |
-
- name: bbox
|
| 68 |
-
sequence: float32
|
| 69 |
-
- name: area
|
| 70 |
-
dtype: float32
|
| 71 |
-
- name: pascal_voc_annotation
|
| 72 |
-
struct:
|
| 73 |
-
- name: filename
|
| 74 |
-
dtype: string
|
| 75 |
-
- name: size
|
| 76 |
-
struct:
|
| 77 |
-
- name: width
|
| 78 |
-
dtype: int64
|
| 79 |
-
- name: height
|
| 80 |
-
dtype: int64
|
| 81 |
-
- name: depth
|
| 82 |
-
dtype: int64
|
| 83 |
-
- name: objects
|
| 84 |
-
sequence:
|
| 85 |
-
- name: name
|
| 86 |
-
dtype: string
|
| 87 |
-
- name: difficult
|
| 88 |
-
dtype: int64
|
| 89 |
-
- name: bbox
|
| 90 |
-
struct:
|
| 91 |
-
- name: xmin
|
| 92 |
-
dtype: int64
|
| 93 |
-
- name: ymin
|
| 94 |
-
dtype: int64
|
| 95 |
-
- name: xmax
|
| 96 |
-
dtype: int64
|
| 97 |
-
- name: ymax
|
| 98 |
-
dtype: int64
|
| 99 |
-
splits:
|
| 100 |
-
- name: train
|
| 101 |
-
num_bytes: 9789525.0
|
| 102 |
-
num_examples: 39
|
| 103 |
-
- name: val
|
| 104 |
-
num_bytes: 1530544.0
|
| 105 |
-
num_examples: 6
|
| 106 |
-
- name: test
|
| 107 |
-
num_bytes: 960145.0
|
| 108 |
-
num_examples: 4
|
| 109 |
-
- name: 0.50x_partition
|
| 110 |
-
num_bytes: 7313861.0
|
| 111 |
-
num_examples: 29
|
| 112 |
-
- name: 0.20x_partition
|
| 113 |
-
num_bytes: 4219004.0
|
| 114 |
-
num_examples: 17
|
| 115 |
-
- name: 0.05x_partition
|
| 116 |
-
num_bytes: 2755812.0
|
| 117 |
-
num_examples: 11
|
| 118 |
-
- name: 0.10x_partition
|
| 119 |
-
num_bytes: 3182669.0
|
| 120 |
-
num_examples: 13
|
| 121 |
-
- name: 0.25x_partition
|
| 122 |
-
num_bytes: 4774730.0
|
| 123 |
-
num_examples: 19
|
| 124 |
-
download_size: 32332811
|
| 125 |
-
dataset_size: 34526290.0
|
| 126 |
---
|
| 127 |
|
| 128 |
# mb-boulder_det Dataset
|
| 129 |
|
| 130 |
-
An object detection dataset in YOLO format containing
|
| 131 |
|
| 132 |
## Dataset Metadata
|
| 133 |
|
|
@@ -139,9 +34,16 @@ An object detection dataset in YOLO format containing 3 splits: train, val, test
|
|
| 139 |
## Dataset Details
|
| 140 |
|
| 141 |
- Format: YOLO
|
| 142 |
-
- Splits: train, val, test
|
| 143 |
|
| 144 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 145 |
|
| 146 |
## Additional Formats
|
| 147 |
|
|
@@ -154,5 +56,9 @@ An object detection dataset in YOLO format containing 3 splits: train, val, test
|
|
| 154 |
```python
|
| 155 |
from datasets import load_dataset
|
| 156 |
|
|
|
|
| 157 |
dataset = load_dataset("gremlin97/mb-boulder_det")
|
|
|
|
|
|
|
|
|
|
| 158 |
```
|
|
|
|
| 18 |
task_ids:
|
| 19 |
- instance-segmentation
|
| 20 |
pretty_name: mb-boulder_det
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
---
|
| 22 |
|
| 23 |
# mb-boulder_det Dataset
|
| 24 |
|
| 25 |
+
An object detection dataset in YOLO format containing 8 splits: train, val, test, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition.
|
| 26 |
|
| 27 |
## Dataset Metadata
|
| 28 |
|
|
|
|
| 34 |
## Dataset Details
|
| 35 |
|
| 36 |
- Format: YOLO
|
| 37 |
+
- Splits: train, val, test, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition
|
| 38 |
|
| 39 |
+
## Partitions
|
| 40 |
+
|
| 41 |
+
This dataset includes the following partitions:
|
| 42 |
+
- 0.50x_partition: Available as a single split named '0.50x_partition'
|
| 43 |
+
- 0.20x_partition: Available as a single split named '0.20x_partition'
|
| 44 |
+
- 0.05x_partition: Available as a single split named '0.05x_partition'
|
| 45 |
+
- 0.10x_partition: Available as a single split named '0.10x_partition'
|
| 46 |
+
- 0.25x_partition: Available as a single split named '0.25x_partition'
|
| 47 |
|
| 48 |
## Additional Formats
|
| 49 |
|
|
|
|
| 56 |
```python
|
| 57 |
from datasets import load_dataset
|
| 58 |
|
| 59 |
+
# Load the main dataset
|
| 60 |
dataset = load_dataset("gremlin97/mb-boulder_det")
|
| 61 |
+
|
| 62 |
+
# Load a specific partition
|
| 63 |
+
partition_dataset = load_dataset("gremlin97/mb-boulder_det", "0.05x_partition")
|
| 64 |
```
|