jagung_yolo Image Dataset
Versions
tanpa mosaic
v20
Jul 20, 2022
dengan mosaic
v19
Jul 3, 2022
2022-07-02 5:37am
v16
Jul 1, 2022
dataset_jagung1080px
v14
Jun 29, 2022
dataset_jagung11
v13
Jun 29, 2022
dataset_jagung1280px
v12
Jun 28, 2022
dataset_jagung_last
v9
Jun 24, 2022
dataset_jagung8
v8
Jun 24, 2022
dataset_jagung7
v7
Jun 24, 2022
dataset_jagung3
v3
Jun 24, 2022
v7
dataset_jagung7
Generated on Jun 24, 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.
330 Total Images
View All Images
Dataset Split
Train Set 82%
270Images
Valid Set 12%
40Images
Test Set 6%
20Images
Preprocessing
Resize: Fit within 800x800
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Blur: Up to 2px
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