hard hat detection Image Dataset
Versions
removed_label_balanced_train_valid_test
v7
Apr 21, 2022
2022-04-21 7:26pm
v6
Apr 21, 2022
2022-04-21 7:21pm
v5
Apr 21, 2022
removed_label_train_test
v4
Apr 21, 2022
2022-04-21 4:02pm
v3
Apr 21, 2022
removed_label_train_valid_test
v2
Apr 21, 2022
hard hat detection with flip augmentation
v1
Mar 20, 2022
v2
removed_label_train_valid_test
Generated on Apr 21, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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16885 Total Images
View All Images
Dataset Split
Train Set 88%
14775Images
Valid Set 8%
1406Images
Test Set 4%
704Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
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