Sementacion_Heridas Image Dataset
Versions
2022-09-24 4:11pm
v18
Sep 24, 2022
2022-07-28 10:44pm
v17
Jul 29, 2022
2022-07-28 10:09pm
v16
Jul 29, 2022
2022-07-25 9:39am
v14
Jul 25, 2022
Dataset_Heridas2
v13
Jul 25, 2022
Dataset_Heridas1
v10
Jul 16, 2022
2022-07-14 9:57pm
v7
Jul 15, 2022
2022-07-14 9:55pm
v6
Jul 15, 2022
Dataset_Heridas
v5
Jul 14, 2022
2022-07-13 9:12pm
v1
Jul 14, 2022
v13
Dataset_Heridas2
Generated on Jul 25, 2022
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.
755 Total Images
View All Images
Dataset Split
Train Set 94%
711Images
Valid Set %
0Images
Test Set 6%
44Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise
Rotation: Between -45° and +45°
Shear: ±28° Horizontal, ±22° Vertical
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