Plants Diseases Detection Model Image Dataset
Versions
2023-06-21 10:31am
v12
Jun 21, 2023
2023-06-16 6:52pm
v11
Jun 16, 2023
2023-06-13 7:52am
v10
Jun 13, 2023
2023-06-09 3:55pm
v9
Jun 9, 2023
2023-05-31 4:56pm
v8
May 31, 2023
2023-05-30 4:33pm
v7
May 30, 2023
2023-05-28 8:54pm
v6
May 28, 2023
2023-05-28 6:13pm
v5
May 28, 2023
2023-05-28 5:46pm
v4
May 28, 2023
2023-05-28 3:09pm
v3
May 28, 2023
2023-05-27 9:11pm
v2
May 27, 2023
2023-05-27 3:28pm
v1
May 27, 2023
v12
2023-06-21 10:31am
Generated on Jun 21, 2023
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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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8392 Total Images
View All ImagesDataset Split
Train Set 87%
7314Images
Valid Set 8%
686Images
Test Set 5%
392Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%
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