Dataset Versions
Versions
2023-06-06 3:50pm
v18
· a year 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
v8
SP_datasetV3_Tong
Generated on Dec 30, 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 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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156 Total Images
View All Images
Dataset Split
Train Set 81%
126Images
Valid Set 15%
24Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Shear: ±9° Horizontal, ±9° Vertical
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 4.75px
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 13px