Final_Lave_Vaisselle_Project Image Dataset
Versions
2022-01-17 3:18pm
v27
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2022-01-17 3:18pm
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v19
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v5
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v4
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2021-12-22 1:15pm
v3
Dec 22, 2021
2021-12-21 4:33pm
v2
Dec 21, 2021
2021-12-21 11:18am
v1
Dec 21, 2021
v2
2021-12-21 4:33pm
Generated on Dec 21, 2021
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.
593 Total Images
View All Images
Dataset Split
Train Set 95%
561Images
Valid Set 3%
20Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
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