Final Dataset no null Image Dataset
Versions
90-5-5 v4
v18
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95-0-5 v4
v17
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60-20-20 v3
v16
· 2 years ago
70-15-15 v2
v14
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95-0-5 v2
v10
· 2 years ago
90-5-5 v3
v9
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90-5-5
v8
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95-0-5
v7
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90-5-5
v6
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70-15-15
v5
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60-20-20
v4
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80-10-10
v2
· 2 years ago
best dataset
v1
· 2 years ago
v10
95-0-5 v2
Generated on Jan 10, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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1491 Total Images
View All Images
Dataset Split
Train Set 95%
1416Images
Valid Set %
0Images
Test Set 5%
75Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 3px
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