test_01 Image Dataset
v3
added eye-nose label and post-process2023-06-07 2-50am
Generated on Jun 6, 2023
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YOLOv9
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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344 Total Images
View All Images
Dataset Split
Train Set 83%
285Images
Valid Set 15%
51Images
Test Set 2%
8Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 2
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -25% and +25%
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