Dataset Versions
Versions
add data -2- with augmn and prepocess
v13
· 5 months ago
add data -2-
v12
· 5 months ago
add data
v11
· 5 months ago
grayscale
v10
· 5 months ago
augm
v9
· 5 months ago
menambah data dan perbaikan anotasi
v8
· 5 months ago
Fix Wrinkle
v7
· 5 months ago
Add Wrinkle
v6
· 5 months ago
2024-06-09 9:47pm
v5
· 5 months ago
2024-06-07 12:20pm
v2
· 5 months ago
2024-06-07 12:09pm
v1
· 5 months ago
v13
add data -2- with augmn and prepocess
Generated on Jun 18, 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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1768 Total Images
View All Images
Dataset Split
Train Set 89%
1576Images
Valid Set 5%
96Images
Test Set 5%
96Images
Preprocessing
Resize: Stretch to 1024x1024
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Exposure: Between -12% and +12%