Dataset Versions
Versions
Bean_v13_320_22012024
v13
· a year ago
Bean_v12_320_03122023
v12
· a year ago
Bean_v11_640_21112023
v11
· a year ago
Bean_v10_224_21112023
v10
· a year ago
Bean_20231120_640
v9
· a year ago
Weed_vs_Bean.v8-18112023
v8
· a year ago
18112023_V7
v7
· a year ago
dataset_16112023_modified less
v6
· a year ago
dataset_16112023_modified_2
v5
· a year ago
dataset_16112023_modified
v4
· a year ago
dataset_15112023_modified
v3
· a year ago
Modified_14112023
v2
· a year ago
v11
Bean_v11_640_21112023
Generated on Nov 21, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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2637 Total Images
View All Images
Dataset Split
Train Set 94%
2487Images
Valid Set 6%
150Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px