Construction Site Safety Image Dataset
Versions
raw-images_latestversion
v30
Apr 19, 2023
2023-04-18 11:09pm
v29
Apr 19, 2023
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
v23
v8-LabelAssist_plusVehicles-aug5xMosaic
Generated on Dec 23, 2022
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.
2521 Total Images
View All ImagesDataset Split
Train Set 93%
2350Images
Valid Set 4%
100Images
Test Set 3%
71Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 14 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
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