gloriav6_con_oscuridad_test Dataset
v4
2022-10-14 12:06pm
Generated on Oct 14, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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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931 Total Images
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Dataset Split
Train Set 97%
900Images
Valid Set 3%
27Images
Test Set 0%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -7% and +7%