Printer Chip Detector v1 Image Dataset
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Combo5 Images Batch
v6
· 10 months ago
9679
Combo4 Images Batch
v5
· 10 months ago
4526
640x640
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Combo3 Images Batch
v4
· 10 months ago
4526
640x640
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Combo2 Images Batch
v3
· 10 months ago
1241
640x640
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Combo1 Images Batch
v2
· 10 months ago
317
640x640
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Data Preparation Team Augmented Batch
v1
· 10 months ago
111
640x640
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v6
Combo5 Images Batch
Generated on Aug 23, 2023
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.
9679 Total Images
View All ImagesDataset Split
Train Set 90%
8730Images
Valid Set 6%
615Images
Test Set 3%
334Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
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