Dataset Versions
Versions
2024-07-15 7:02am
v17
· 5 months ago
oriented bounding box_exam
v16
· 5 months ago
2024-07-14 7:59am
v15
· 5 months ago
2024-07-13 8:38am
v14
· 5 months ago
2024-07-03 12:52pm
v12
· 5 months ago
hyeonuk_0626
v11
· 5 months ago
0626_first
v10
· 5 months ago
2024-05-14 9:22pm
v7
· 7 months ago
2024-05-14 9:09pm
v6
· 7 months ago
2024-05-14 9:03pm
v5
· 7 months ago
2024-05-14 7:40pm
v4
· 7 months ago
2024-05-14 4:55pm
v3
· 7 months ago
2024-05-01 8:57pm
v1
· 7 months ago
v10
0626_first
Generated on Jun 26, 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.
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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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654 Total Images
View All Images
Dataset Split
Train Set 94%
616Images
Valid Set 4%
25Images
Test Set 2%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -8% and +8%
Noise: Up to 0.85% of pixels