Construction Site Safety Image Dataset
Versions
YOLOv5s
v28
Feb 1, 2023
YOLOv8s
v27
Jan 10, 2023
v1-ACCURATE-Machinery-aug5xMosaic
v25
Dec 24, 2022
v9-LabelAssist_plusVehicles-Machinery-aug5xMosaic
v24
Dec 24, 2022
v8-LabelAssist_plusVehicles-aug5xMosaic
v23
Dec 23, 2022
v8-LabelAssist_plusVehicles-Machinery-aug5xMosaic
v22
Dec 23, 2022
resized640_forLABEL-ASSIST-aug5x_mosaic
v7
Dec 14, 2022
original_raw-images
v1
Dec 14, 2022
YOLOv8s
Version 27 Generated Jan 10, 2023
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
Train / Test Split
Training Set
93
2.6k
images
Validation Set
4
114
images
Testing Set
3
82
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 15 remapped, 17 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 6 boxes with 2% size each
Mosaic: Applied
Details
Version Name: YOLOv8s
Version ID: 27
Generated: Jan 10, 2023
Annotation Group: construction
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