wound type Dataset

Try Pre-Trained Model
Versions
2023-12-13 6:19am
v22
·
7 months ago
2023-12-13 6:13am
v21
·
7 months ago
2023-12-01 12:06pm
v20
·
7 months ago
2023-12-01 10:59am
v19
·
7 months ago
2023-12-01 10:40am
v18
·
7 months ago
2023-12-01 10:02am
v17
·
7 months ago
2023-12-01 9:38am
v16
·
7 months ago
2023-11-29 10:07pm
v15
·
7 months ago
2023-11-29 8:47pm
v14
·
7 months ago
2023-11-29 8:12pm
v13
·
7 months ago
2023-11-29 7:41pm
v12
·
7 months ago
2023-11-29 7:40pm
v11
·
7 months ago
2023-11-29 7:31pm
v10
·
7 months ago
2023-11-29 1:15pm
v9
·
7 months ago
2023-11-29 12:54pm
v8
·
7 months ago
2023-11-29 9:18am
v6
·
7 months ago
2023-11-29 9:13am
v5
·
7 months ago
2023-11-27 4:38pm
v4
·
7 months ago
2023-11-27 3:17pm
v3
·
7 months ago
2
v2
·
7 months ago
2023-11-27 2:17pm
v1
·
7 months ago
v22

2023-12-13 6:19am

Generated on Dec 13, 2023
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

379 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 68%
259Images
Valid Set 11%
42Images
Test Set 21%
78Images

Preprocessing

Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

No augmentations were applied.