Dataset Versions
Versions
Cultary ISOLATED
v24
· 2 years ago
plates ISOLATED
v23
· 2 years ago
Glass leg ISOLATED
v22
· 2 years ago
Glass no leg ISOLATED
v21
· 2 years ago
Glasses no leg
v19
· 2 years ago
Glasses leg
v18
· 2 years ago
Cutlary
v17
· 2 years ago
Plates
v16
· 2 years ago
Dragon mother
v15
· 2 years ago
2023-06-01 10:33am
v11
· 2 years ago
2023-05-29 11:26am
v1
· 2 years ago
v18
Glasses leg
Generated on Jun 2, 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.
YOLOv5
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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4005 Total Images
View All ImagesDataset Split
Train Set 87%
3504Images
Valid Set 8%
329Images
Test Set 4%
172Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 64 remapped, 46 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels