Dataset Versions
Versions
8th Version - 1.2. Job - Augmented - 640x640 - Fit Black Edges
v10
· 9 months ago
7th Version - 1.2. Job - Not Augmented - 640x640 - Center Crop
v9
· 9 months ago
6th Version - 1.2. Job - Not Augmented - 1280x1280
v8
· 9 months ago
5th Version - 1.2. Job - 1V - Augmented
v7
· 9 months ago
4th Version - Smaller Training Dataset
v6
· 9 months ago
3rd Version - 320x320
v5
· 9 months ago
2nd Version -Augmented
v4
· 9 months ago
1st Version
v3
· 9 months ago
v10
8th Version - 1.2. Job - Augmented - 640x640 - Fit Black Edges
Generated on Mar 3, 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.
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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2454 Total Images
View All ImagesDataset Split
Train Set 92%
2264Images
Valid Set 4%
95Images
Test Set 4%
95Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -20% and +20%