Dataset Versions
Versions
helmet-chinstrap_Dataset_v4b
v15
· 10 months ago
helmet-chinstrap_Dataset_v4a
v13
· 10 months ago
helmet-chinstrap_Dataset_v3
v12
· 10 months ago
helmet-chinstrap_Dataset_v2_2_1
v10
· 10 months ago
helmet-chinstrap_Dataset_v2_2
v9
· 10 months ago
helmet-chinstrap_Dataset_v2_1
v8
· a year ago
helmet-chinstrap_Dataset_v2
v7
· a year ago
helmet-chinstrap_Dataset_v1_1
v6
· a year ago
helmet-chinstrap_Dataset_v1
v5
· a year ago
2023-09-29 1:02pm
v4
· a year ago
2023-09-29 1:00pm
v3
· a year ago
2023-07-19 11:32am
v2
· a year ago
2023-07-17 5:16pm
v1
· a year ago
v3
2023-09-29 1:00pm
Generated on Sep 29, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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90 Total Images
View All Images
Dataset Split
Train Set 100%
90Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Static Crop: 12-87% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 800x800
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Noise: Up to 10% of pixels