Palm Tree Region N Dataset
Versions
2023-09-14 6-16pm R2
v9
· a year ago
2023-09-14 6:16pm
v8
· a year ago
2023-09-14 6-15pm R1
v7
· a year ago
2023-09-14 6-01pm R2
v6
· a year ago
2023-09-14 5:58pm
v5
· a year ago
2023-09-14 5-50pm R1
v4
· a year ago
2023-09-14 5:48pm
v3
· a year ago
2023-09-14 5-46pm R1
v2
· a year ago
2023-08-30 12:56am
v1
· a year ago
v1
2023-08-30 12:56am
Generated on Aug 29, 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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1722 Total Images
View All Images
Dataset Split
Train Set 88%
1511Images
Valid Set 8%
139Images
Test Set 4%
72Images
Preprocessing
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels