Dataset Versions
Versions
First stage tiled
v13
· 5 months ago
First stage Diseases
v11
· 8 months ago
Diseases Only
v10
· 9 months ago
Eye Parts
v9
· 9 months ago
Refined Dataset
v8
· 9 months ago
2023-11-26 2:33pm
v6
· a year ago
2023-11-26 2:33pm
v5
· a year ago
2023-11-26 2:29pm
v4
· a year ago
2023-11-26 2:27pm
v3
· a year ago
2023-11-20 5:52pm
v2
· a year ago
2023-11-14 4:58pm
v1
· a year ago
v13
First stage tiled
Generated on Jun 8, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
23800 Total Images
View All Images
Dataset Split
Train Set 87%
20800Images
Valid Set 8%
2000Images
Test Set 4%
1000Images
Preprocessing
Auto-Orient: Applied
Static Crop: 18-82% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 1440x1440
Tile: 10 rows x 10 columns
Modify Classes: 0 remapped, 6 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down