Dataset Versions
Versions
Noise1.21-Bright25
v16
· a year ago
Noise1.21-Exp15
v15
· a year ago
Noise1.21-Rot15-Shear15
v14
· a year ago
Shear15
v13
· a year ago
Rot15
v12
· a year ago
Rot15- Shear15
v11
· a year ago
Noise1.21-Blur4px-Rot15-Bright25-Exp15-Shear15
v10
· a year ago
Noise1.21- Blur4px- Rot15- Bright25- Exp15
v9
· a year ago
Noise1.21- Blur4px- Rot15- Bright25
v8
· a year ago
Noise- Blur- Rotation - 15
v7
· a year ago
Noise and Blur
v6
· a year ago
Added Noise 1.25
v5
· a year ago
Full Dataset
v4
· a year ago
5 Image Test - Renamed Class
v3
· a year ago
5 Image Test
v2
· a year ago
v10
Noise1.21-Blur4px-Rot15-Bright25-Exp15-Shear15
Generated on Jan 10, 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 YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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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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36 Total Images
View All Images
Dataset Split
Train Set 100%
36Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.21% of pixels