plant Image Dataset
Versions
cropped-contrast
v34
Apr 18, 2022
cropped-noise
v33
Apr 18, 2022
cropped-color
v32
Apr 18, 2022
cropped-rotate
v31
Apr 18, 2022
cropped
v30
Apr 17, 2022
cropred
v29
Apr 17, 2022
2022-04-14 4:07pm
v28
Apr 14, 2022
2022-04-14 4:07pm
v27
Apr 14, 2022
resize-color-box
v25
Apr 14, 2022
resize-crop
v24
Apr 14, 2022
resize-noise
v23
Apr 14, 2022
resize-contrast
v22
Apr 14, 2022
resize-color
v21
Apr 14, 2022
resize-rotate
v20
Apr 14, 2022
auto
v19
Apr 13, 2022
empty
v18
Apr 13, 2022
auto-resize-color-box
v17
Apr 13, 2022
auto-resize-blur-box
v16
Apr 13, 2022
auto-resize-rotate-box
v15
Apr 13, 2022
auto-resize-crop
v14
Apr 13, 2022
2022-04-12 11:15pm
v13
Apr 13, 2022
auto-resize-color
v12
Apr 7, 2022
auto-resize-noise
v11
Apr 7, 2022
auto-resize-noise
v10
Apr 7, 2022
auto-resize-contrast
v9
Apr 7, 2022
auto-resize-rotate
v8
Apr 7, 2022
auto-resize-noise
v7
Apr 7, 2022
auto-resize-contrast
v5
Apr 7, 2022
auto-resize-grey
v4
Apr 7, 2022
auto-resize
v3
Apr 7, 2022
resize
v2
Apr 7, 2022
2022-04-06 6:07pm
v1
Apr 7, 2022
v33
cropped-noise
Generated on Apr 18, 2022
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.
2480 Total Images
View All Images
Dataset Split
Train Set 69%
1723Images
Valid Set 21%
511Images
Test Set 10%
246Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 1
Blur: Up to 1px
Noise: Up to 1% of pixels
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