Osteoid Image Dataset
Versions
2024-06-27 8:45am
v9
· 3 days ago
2024-06-26 10:59am
v8
· 4 days ago
2024-06-24 11:11am
v7
· 6 days ago
2024-06-14 9:37am
v6
· 16 days ago
2024-06-14 8:15am
v5
· 16 days ago
2024-06-13 12:07pm
v4
· 17 days ago
2024-06-13 8:54am
v3
· 17 days ago
2024-06-13 8:48am
v2
· 17 days ago
2024-06-13 8:28am
v1
· 17 days ago
v8
2024-06-26 10:59am
Generated on Jun 26, 2024
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.
2600 Total Images
View All Images
Dataset Split
Train Set 92%
2400Images
Valid Set 4%
100Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -2° and +2°
Shear: ±0° Horizontal, ±4° Vertical
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
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