potato classification Image Dataset
Versions
PDD_V15_EXPOSURE_25-06-2024
v15
· 6 days ago
PDD_V14_BRGHT_SAT_ROTCNTR_EXP_24-06-2024
v14
· 7 days ago
PDD_V13_BRGHT_SAT_ROTCNTR_EXP_24-06-2024
v13
· 7 days ago
PDD_BRGHT_SAT_ROTCNTR_EXPOSURE_22-06-2024
v12
· 9 days ago
Working dataset Version
v11
· 11 days ago
2024-06-20 5:45pm
v10
· 11 days ago
PDD_BRGHT-SAT-V1_19-06-2024
v9
· 12 days ago
PDD_STD-SETUP_07-06-2024
v8
· 24 days ago
PDD_EXPOSURE-640_07-06-2024
v7
· 24 days ago
PDD_V3_TILING-ONLY_06-06-2024
v3
· 25 days ago
PDD_V2_05-06-2024
v2
· 25 days ago
PDD_V1_05-06-2024
v1
· a month ago
v10
2024-06-20 5:45pm
Generated on Jun 20, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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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).
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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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0 Total Images
View All ImagesPreprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter by Tag: 9 required, 6 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -34% and +34%
Brightness: Between 0% and +25%
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