Helmet Image Dataset
Versions
2022-01-31 2:51am
v16
Jan 30, 2022
2022-01-30 10:08pm
v15
Jan 30, 2022
2022-01-30 8:20pm
v14
Jan 30, 2022
2022-01-30 7:02pm
v13
Jan 30, 2022
2022-01-30 6:57pm
v12
Jan 30, 2022
2022-01-30 4:33pm
v11
Jan 30, 2022
2022-01-30 2:51pm
v10
Jan 30, 2022
2022-01-29 8:56pm
v9
Jan 29, 2022
2022-01-29 8:54pm
v8
Jan 29, 2022
2022-01-29 3:20pm
v7
Jan 29, 2022
2022-01-29 2:25am
v6
Jan 28, 2022
2022-01-29 2:23am
v5
Jan 28, 2022
2022-01-29 2:20am
v4
Jan 28, 2022
2022-01-29 2:17am
v2
Jan 28, 2022
2022-01-28 9:42pm
v1
Jan 28, 2022
v16
2022-01-31 2:51am
Generated on Jan 30, 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.
759 Total Images
View All Images
Dataset Split
Train Set 76%
576Images
Valid Set %
0Images
Test Set 24%
183Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -40% and +0%
Mosaic: Applied
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