plant leaf disease detection Image Dataset
Versions
2023-06-15 4:07pm
v13
Jun 15, 2023
2023-06-15 2:57pm
v12
Jun 15, 2023
2023-06-14 11:26am
v11
Jun 14, 2023
2023-05-27 3:54pm
v10
May 27, 2023
2023-05-27 3:44pm
v9
May 27, 2023
2023-05-27 3:28pm
v8
May 27, 2023
2023-05-27 3:15pm
v7
May 27, 2023
2023-05-27 12:50pm
v6
May 27, 2023
2023-05-27 11:45am
v4
May 27, 2023
2023-05-27 11:38am
v3
May 27, 2023
2023-05-27 11:26am
v2
May 27, 2023
2023-05-22 5:45pm
v1
May 22, 2023
v9
2023-05-27 3:44pm
Generated on May 27, 2023
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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4528 Total Images
View All Images
Dataset Split
Train Set 89%
4018Images
Valid Set 7%
314Images
Test Set 4%
196Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Grayscale: Apply to 48% of images
Hue: Between -84° and +84°
Saturation: Between -37% and +37%
Brightness: Between -25% and +25%
Exposure: Between -23% and +23%
Mosaic: Applied
Bounding Box: Blur: Up to 5px
Bounding Box: Noise: Up to 20% of pixels
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