Dataset Versions
Versions
2023-07-06 1:06pm
v14
· a year ago
2023-07-05 6:01pm
v13
· a year ago
2023-07-05 4:56pm
v12
· a year ago
2023-07-05 4:46pm
v11
· a year ago
2023-07-05 4:33pm
v10
· a year ago
2023-07-05 4:26pm
v9
· a year ago
2023-07-05 4:18pm
v8
· a year ago
2023-07-05 4:04pm
v7
· a year ago
2023-07-04 2:03pm
v6
· a year ago
2023-07-03 5:29pm
v5
· a year ago
2023-07-03 5:08pm
v4
· a year ago
Train_with_Augmentation_Jul3
v3
· a year ago
Train_v1
v2
· 2 years ago
2023-06-20 7:05pm
v1
· 2 years ago
v3
Train_with_Augmentation_Jul3
Generated on Jul 3, 2023
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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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234 Total Images
View All Images
Dataset Split
Train Set 86%
201Images
Valid Set 13%
30Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Cutout: 5 boxes with 25% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 35% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%