Dataset Versions
Versions
2024-10-22 5:44am
v20
· a month ago
2024-10-18 8:33am
v19
· a month ago
2024-10-17 6:08pm
v18
· a month ago
2024-10-17 7:58am
v17
· a month ago
2024-10-16 6:06pm
v16
· a month ago
2024-10-15 11:14am
v15
· a month ago
2024-10-14 5:38pm
v14
· a month ago
2024-10-11 10:49am
v13
· a month ago
2024-10-03 9:21pm
v11
· 2 months ago
2024-10-03 6:59pm
v10
· 2 months ago
2024-10-03 10:01am
v9
· 2 months ago
2024-10-03 9:56am
v8
· 2 months ago
2024-10-03 9:54am
v7
· 2 months ago
2024-10-03 9:53am
v6
· 2 months ago
2024-10-03 9:53am
v5
· 2 months ago
2024-10-03 9:24am
v4
· 2 months ago
2024-10-03 9:15am
v3
· 2 months ago
2024-10-03 7:32am
v2
· 2 months ago
2024-10-01 6:31am
v1
· 2 months ago
v5
2024-10-03 9:53am
Generated on Oct 3, 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.
588 Total Images
View All Images
Dataset Split
Train Set 87%
513Images
Valid Set 9%
50Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Static Crop: 31-49% Horizontal Region, 57-77% Vertical Region
Dynamic Crop: Class: Healthy
Resize: Stretch to 600x600
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns
Augmentations
Outputs per training example: 3
Bounding Box: Noise: Up to 0.54% of pixels