Dataset Versions
Versions
Yov8 crop 15-85
v11
· a year ago
Yov8 crop 15-85 histo eq
v10
· a year ago
Yov7 crop 15-85 histo eq
v9
· a year ago
augmentation yolov7
v8
· 2 years ago
naik augmentation yolov8 v2
v7
· 2 years ago
no augmentation yolov7
v6
· 2 years ago
no augmentation yolov8
v5
· 2 years ago
augmentation yolov8
v4
· 2 years ago
pra proses crop
v3
· 2 years ago
2023-04-11 11:51am
v2
· 2 years ago
2023-04-11 10:09am
v1
· 2 years ago
v3
pra proses crop
Generated on Jun 3, 2023
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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.
YOLOv7
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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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3064 Total Images
View All ImagesDataset Split
Train Set 70%
2144Images
Valid Set 20%
612Images
Test Set 10%
308Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images