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0.15027573529411764,
0.03281249999999997,
0.04136029411764705
],
"category_id": 1,
"category_name": "Hard Hat",
"segmentation": [
[
0.4395833333333333,
0.13970588235294118,
0.43020833333333336,
0.12959558823529... | |
frame_000011 | 1,920 | 1,088 | [
{
"bbox": [
0.48567708333333337,
0.4430147058823529,
0.12656249999999997,
0.5183823529411764
],
"category_id": 0,
"category_name": "Person",
"segmentation": [
[
0.44427083333333334,
0.18382352941176472,
0.4375,
0.19117647058823528,
... | |
frame_000012 | 1,920 | 1,088 | [
{
"bbox": [
0.5065448714303964,
0.4466911764705882,
0.14836859047254047,
0.4264705882352941
],
"category_id": 4,
"category_name": "Splash Proof Gown",
"segmentation": [
[
0.5145833333333333,
0.23345588235294118,
0.50625,
0.23897058823... | |
frame_000013 | 1,920 | 1,088 | [
{
"bbox": [
0.5854166666666667,
0.6295955882352942,
0.17708333333333331,
0.3180147058823529
],
"category_id": 0,
"category_name": "Person",
"segmentation": [
[
0.6125,
0.47058823529411764,
0.5984375,
0.47058823529411764,
0.588... |
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Sinon_Less - Segmentation Dataset
Instance Segmentation dataset with polygon annotations.
Labels
PersonHard HatNo Head ProtectionCleanroom SuitSplash Proof GownNo Protective ClothingFull Face MaskNo Full Face Mask
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Daniel246/cvat-sinon_less-segmentation")
# Access splits
train_data = dataset["train"]
val_data = dataset["val"]
test_data = dataset["test"]
# Example: iterate over samples
for sample in train_data:
image = sample["image"]
# Process annotations based on format type
Dataset Structure
Data Fields
image: PIL Imageimage_id: Unique identifier for the imagewidth: Image width in pixelsheight: Image height in pixelsobjects: List of segmented objects with:bbox: Bounding box [x_center, y_center, width, height] (normalized)polygon: List of [x, y] points (normalized)category_id: Class indexcategory_name: Class name
License
Please check the original data source for licensing information.
Generated by CVAT Training System
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