Dataset Versions
Versions
final
v9
· 3 years ago
Gray_rotated_relabeled_together
v8
· 3 years ago
Gray_rotated_relabeled
v7
· 3 years ago
Rotated_noise_relabeled
v6
· 3 years ago
Gray_rotated_noise_relabeled
v5
· 3 years ago
2022-03-10 9:04am
v4
· 3 years ago
2022-03-10 7:56am
v3
· 3 years ago
2022-03-10 7:54am
v2
· 3 years ago
2022-03-10 7:50am
v1
· 3 years ago
v9
final
Generated on Mar 10, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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198 Total Images
View All ImagesDataset Split
Train Set 100%
198Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -20% and +20%
Noise: Up to 2% of pixels