OSA Image Dataset
Versions
2023-08-16 4:13pm
v10
Aug 16, 2023
2023-08-15 10:47am
v9
Aug 15, 2023
2023-08-15 10:45am
v8
Aug 15, 2023
2023-08-15 10:45am
v7
Aug 15, 2023
2023-08-15 10:45am
v6
Aug 15, 2023
2023-08-15 10:45am
v5
Aug 15, 2023
2023-08-15 10:45am
v4
Aug 15, 2023
2023-08-15 10:45am
v3
Aug 15, 2023
2023-08-15 10:45am
v2
Aug 15, 2023
2023-08-15 10:44am
v1
Aug 15, 2023
v10
2023-08-16 4:13pm
Generated on Aug 16, 2023
Popular Download Formats
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.
Other Formats
Choose another format.
720 Total Images
View All ImagesDataset Split
Train Set 88%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Blur: Up to 1px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%
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