TF2_TrainingSet Dataset
v1
2021-09-14 4:30pm Export from YOLOv5_Ds4
Generated on Sep 14, 2021
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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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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4179 Total Images
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Dataset Split
Train Set 88%
3657Images
Valid Set 8%
348Images
Test Set 4%
174Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Saturation: Between -9% and +9%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%