Dataset Versions
Versions
holdout_ver2
v9
· 2 years ago
2023-02-27 12:09pm
v8
· 2 years ago
2023-02-27 12:08pm
v7
· 2 years ago
Holdout ver2 for validation
v6
· 2 years ago
Dataset4 Holdout 60 percent
v5
· 2 years ago
Dataset3 Holdout 70 percent
v4
· 2 years ago
Dataset2 Holdout 80 percent
v3
· 2 years ago
Dataset1 Holdout
v2
· 2 years ago
2022-12-12 7:37pm
v1
· 2 years ago
v3
Dataset2 Holdout 80 percent
Generated on Dec 24, 2022
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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.
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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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2052 Total Images
View All ImagesDataset Split
Train Set 92%
1890Images
Valid Set 8%
162Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%