Dataset Versions
Versions
Dataset_70_15_15_Augmented
v14
· 4 months ago
Split_60_20_20
v13
· 4 months ago
Split_70_15_15
v12
· 4 months ago
Split_80_10_10
v11
· 4 months ago
2024-07-06 12:00pm
v10
· 5 months ago
2024-06-28 5:27pm
v7
· 5 months ago
2024-06-25 9:21pm
v6
· 5 months ago
2024-06-25 7:07pm
v5
· 5 months ago
2024-06-25 6:07pm
v4
· 5 months ago
2024-06-25 5:28pm
v3
· 5 months ago
2024-06-18 10:21pm
v2
· 5 months ago
2024-06-18 10:18pm
v1
· 5 months ago
v14
Dataset_70_15_15_Augmented
Generated on Jul 6, 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 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.
COCO JSON
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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2293 Total Images
View All Images
Dataset Split
Train Set 88%
2007Images
Valid Set 6%
144Images
Test Set 6%
142Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px