Dataset Versions
Versions
Scan_predict_LB
v11
· 2 months ago
Scan_predict_field
v10
· 2 months ago
Scan_predict_scanV2
v9
· 2 months ago
SV_Scanner_predict_field
v7
· 2 months ago
SV_ScannerDate1to2v4
v5
· 2 months ago
SV_ScannerDate1to2v2.1
v3
· 2 months ago
SV_ScannerDate1to2v2
v2
· 3 months ago
SV_ScannerDate1to2
v1
· 3 months ago
v7
SV_Scanner_predict_field
Generated on Oct 8, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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576 Total Images
View All Images
Dataset Split
Train Set 90%
520Images
Valid Set 7%
40Images
Test Set 3%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 4.4px
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