Dataset Versions
Versions
2023-03-27 2:51pm
v25
· 2 years ago
2023-02-21 1:25pm
v24
· 2 years ago
2023-02-21 12:54pm
v23
· 2 years ago
Start_Kal_Yolov8
v22
· 2 years ago
End_Kal_Yolov8s_200Ep
v21
· 2 years ago
End_Kal_Yolov8s_100Ep
v19
· 2 years ago
Roboflow AutoML
v16
· 2 years ago
NoAngle_KalYolov8m_100Ep
v14
· 2 years ago
NoAngle_KalYolov8s_100Epochs
v13
· 2 years ago
NoAngle_Roboflow AutoML with Augmentations
v12
· 2 years ago
NoAngle_Roboflow AutoML No Augmentations
v10
· 2 years ago
v14
NoAngle_KalYolov8m_100Ep
Generated on Feb 10, 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 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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430 Total Images
View All Images
Dataset Split
Train Set 87%
375Images
Valid Set 8%
34Images
Test Set 5%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Saturation: Between -8% and +8%
Brightness: Between -3% and +3%
Noise: Up to 1% of pixels