Dataset Versions
Versions
penambahan_data_ng
v14
· 3 days ago
with-in-line-data
v13
· 6 days ago
FULL MIX AUGMENT
v11
· 14 days ago
EXPOSURE
v10
· 14 days ago
BRIGHTNESS
v9
· 14 days ago
HUE
v8
· 14 days ago
SATURATION
v7
· 14 days ago
SHEAR
v6
· 14 days ago
ROTATION
v5
· 14 days ago
ROTATE
v4
· 14 days ago
FLIP
v3
· 14 days ago
FULL ANOTATE
v2
· 14 days ago
mix data 1
v1
· 16 days ago
v13
with-in-line-data
Generated on Dec 20, 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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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4001 Total Images
View All Images
Dataset Split
Train Set 89%
3561Images
Valid Set 8%
325Images
Test Set 3%
115Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px