Dataset Versions
Versions
sideData2
v12
· 4 months ago
2024-08-05 1:45pm
v11
· 4 months ago
SideData1
v10
· 4 months ago
SideOnly_WithPreAug_3
v8
· 7 months ago
SideOnly_WithPreAug_2
v7
· 8 months ago
SideOnly_WithPreAug_1
v6
· 8 months ago
TopOnly_WithPreAug_1
v5
· 9 months ago
2024-02-21 1:31pm
v4
· 9 months ago
2024-02-21 1:18pm
v3
· 9 months ago
2024-02-19 10:57pm
v2
· 9 months ago
2024-02-13 5:41pm
v1
· 9 months ago
v6
SideOnly_WithPreAug_1
Generated on Mar 8, 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.
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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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50 Total Images
View All Images
Dataset Split
Train Set 96%
48Images
Valid Set 4%
2Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
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
Noise: Up to 0.1% of pixels