test_001 Image Dataset
Versions
2023-08-23 4:07pm
v11
Aug 23, 2023
2023-07-25 8:41am
v10
Jul 25, 2023
2023-07-24 1:48pm
v9
Jul 24, 2023
2023-07-12 11:58am
v8
Jul 12, 2023
2023-07-11 10:47am
v7
Jul 11, 2023
2023-07-10 4:58pm
v6
Jul 10, 2023
2023-07-07 2:19pm
v5
Jul 7, 2023
2023-07-07 8:20am
v4
Jul 7, 2023
2023-07-06 4:52pm
v3
Jul 6, 2023
2023-07-06 3:51pm
v2
Jul 6, 2023
v11
2023-08-23 4:07pm
Generated on Aug 23, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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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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4804 Total Images
View All ImagesDataset Split
Train Set 87%
4203Images
Valid Set 8%
400Images
Test Set 4%
201Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -20% and +20%
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