Weed Killing Rover Image Dataset
Versions
2024-02-22 1:28pm
v9
Feb 22, 2024
2024-02-21 11:53pm
v8
Feb 21, 2024
2024-02-21 5:25pm
v7
Feb 21, 2024
2024-02-21 5:25pm
v6
Feb 21, 2024
2024-02-21 4:35pm
v5
Feb 21, 2024
2024-02-21 12:26pm
v4
Feb 21, 2024
2024-02-21 12:16pm
v3
Feb 21, 2024
2024-02-20 12:36pm
v2
Feb 20, 2024
2024-01-24 11:55am
v1
Jan 24, 2024
v7
2024-02-21 5:25pm
Generated on Feb 21, 2024
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.
3557 Total Images
View All Images
Dataset Split
Train Set 80%
2860Images
Valid Set 12%
430Images
Test Set 8%
267Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Flip: Horizontal
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