PrintCheck2 Dataset
Versions
2024-07-31 7:02am
v35
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2024-07-31 6:52am
v34
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2024-07-31 6:42am
v33
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2024-07-31 6:38am
v32
· 2 months ago
2024-07-31 3:28am
v31
· 2 months ago
2024-07-31 3:21am
v30
· 2 months ago
2024-07-31 3:18am
v29
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2024-07-31 3:03am
v28
· 2 months ago
2024-07-31 1:25am
v27
· 2 months ago
2024-07-31 1:02am
v26
· 2 months ago
2024-07-31 12:41am
v25
· 2 months ago
2024-07-30 6:41pm
v24
· 2 months ago
2024-07-30 6:36pm
v23
· 2 months ago
2024-07-30 6:19pm
v22
· 2 months ago
2024-07-30 6:18pm
v21
· 2 months ago
2024-07-30 6:17pm
v20
· 2 months ago
2024-07-30 6:08pm
v19
· 2 months ago
2024-07-30 6:07pm
v18
· 2 months ago
2024-07-30 4:52pm
v17
· 2 months ago
2024-07-30 4:52pm
v16
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2024-07-30 4:52pm
v15
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v14
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2024-07-30 4:52pm
v13
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v12
· 2 months ago
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v11
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v10
· 2 months ago
2024-07-30 4:52pm
v9
· 2 months ago
2024-07-30 4:52pm
v8
· 2 months ago
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v7
· 2 months ago
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v6
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v5
· 2 months ago
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v4
· 2 months ago
2024-07-30 4:01pm
v3
· 2 months ago
2024-07-30 3:19pm
v2
· 2 months ago
2024-07-30 3:10pm
v1
· 2 months ago
v20
2024-07-30 6:17pm
Generated on Jul 30, 2024
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.
243 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 100%
243Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Mosaic: Applied