PlantDoc-Tomatoes Image Dataset
Versions
2023-04-16 2:40pm
v28
Apr 16, 2023
2023-04-16 2:03pm
v27
Apr 16, 2023
2023-04-15 2:59pm
v26
Apr 15, 2023
2023-04-15 2:33pm
v25
Apr 15, 2023
2023-04-15 1:49pm
v24
Apr 15, 2023
2023-04-14 11:00am
v23
Apr 14, 2023
2023-03-24 3:17pm
v22
Mar 24, 2023
2023-03-23 10:24pm
v20
Mar 23, 2023
2023-03-20 12:45pm
v17
Mar 20, 2023
2023-03-19 7:34pm
v15
Mar 19, 2023
2023-03-19 5:24pm
v13
Mar 19, 2023
2023-03-13 10:50am
v9
Mar 13, 2023
512x512_size
v8
Mar 12, 2023
v6
v6
Mar 11, 2023
2023-03-11 1:15pm
v5
Mar 11, 2023
2023-03-10 8:01am
v1
Mar 10, 2023
v15
2023-03-19 7:34pm
Generated on Mar 19, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
1815 Total Images
View All Images
Dataset Split
Train Set 90%
1635Images
Valid Set 5%
90Images
Test Set 5%
90Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Modify Classes: 9 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 16% size each
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