Dataset Versions
Versions
2023-06-06 3:50pm
v18
· 2 years ago
SP2_datasetV3_Yee
v17
· 2 years ago
2023-01-03 T
v14
· 2 years ago
SP_datasetV3_Tong
v8
· 2 years ago
SP2_datasetV3_06
v7
· 2 years ago
SP2_dataset_Yok_setting
v6
· 2 years ago
SP2_datasetV3_04_Manitat
v5
· 2 years ago
SP2_datasetV3_03
v4
· 2 years ago
SP2_datasetV3_02
v3
· 2 years ago
SP2_datasetV3_01
v2
· 2 years ago
SP2_datasetV3
v1
· 2 years ago
v6
SP2_dataset_Yok_setting
Generated on Dec 24, 2022
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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.
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.
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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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168 Total Images
View All Images
Dataset Split
Train Set 86%
144Images
Valid Set 11%
18Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±9° Horizontal, ±9° Vertical
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Shear: ±8° Horizontal, ±9° Vertical
Bounding Box: Noise: Up to 5% of pixels