Dataset Versions
Versions
2024-05-31 9:31pm
v10
· 6 months ago
test with roboflow after updating annotations
v7
· 6 months ago
2024-05-31 8:30am
v6
· 6 months ago
2024-05-31 7:20am
v5
· 6 months ago
2024-05-29 3:00pm
v4
· 6 months ago
2024-05-29 10:29am
v3
· 6 months ago
2024-05-29 10:03am
v2
· 6 months ago
2024-05-28 5:37pm
v1
· 6 months ago
v7
test with roboflow after updating annotations
Generated on May 31, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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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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1926 Total Images
View All Images
Dataset Split
Train Set 85%
1644Images
Valid Set 9%
167Images
Test Set 6%
115Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels