supter_abundance_test Dataset
v2
2023-03-04 6:48pm
Generated on Mar 4, 2023
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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.
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353 Total Images
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Dataset Split
Train Set %
0Images
Valid Set %
0Images
Test Set 100%
353Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Tile: 8 rows x 8 columns
Filter Null: Require at least 98% of images to contain annotations.
Augmentations
Outputs per training example: 1
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Mosaic: Applied