Dataset Versions
Versions
Original version 2
v16
· a month ago
version_update_train_test_v1
v14
· 5 months ago
version_update_test_set_v2
v13
· 5 months ago
version_update_test_set
v12
· 5 months ago
2024-06-16 1:15pm
v11
· 5 months ago
2024-06-15 10:15am
v10
· 5 months ago
orginal_version
v9
· 5 months ago
2024-05-25 8:50pm
v7
· 5 months ago
2024-05-25 3:21am
v6
· 5 months ago
2024-05-23 4:02pm
v4
· 6 months ago
2024-05-20 10:58pm
v3
· 6 months ago
2024-05-20 10:16pm
v2
· 6 months ago
v10
2024-06-15 10:15am
Generated on Jun 15, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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113 Total Images
View All Images
Dataset Split
Train Set 93%
105Images
Valid Set 4%
4Images
Test Set 4%
4Images
Preprocessing
Resize: Fit (white edges) in 1700x1850
Augmentations
Outputs per training example: 7
Blur: Up to 2px
Noise: Up to 0.2% of pixels