Dataset Versions
Versions
2024-09-18 11:08am
v18
· 2 months ago
Pantograph-Detection-4404-186-182
v17
· 2 months ago
Pantograph-Detection-3849-371-182
v16
· 2 months ago
Pantograph-Detection-3849-374-279
v15
· 2 months ago
Pantograph-Detection-4392-186-186
v12
· 2 months ago
2024-09-09 5:13am
v11
· 2 months ago
2024-09-09 5:02am
v10
· 2 months ago
2024-09-08 3:42pm
v7
· 2 months ago
v15
Pantograph-Detection-3849-374-279
Generated on Sep 16, 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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4402 Total Images
View All Images
Dataset Split
Train Set 87%
3849Images
Valid Set 6%
274Images
Test Set 6%
279Images
Preprocessing
Auto-Orient: Applied
Static Crop: 4-93% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 900x520
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Grayscale: Apply to 3% of images
Hue: Between -4° and +4°
Saturation: Between -26% and +26%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 1.4px
Noise: Up to 0.34% of pixels