Weed Killing Rover Image Dataset
Versions!
2024-02-22 1:28pm
v9
· 4 months ago
3816
2024-02-21 11:53pm
v8
· 4 months ago
3828
2024-02-21 5:25pm
v7
· 4 months ago
3557
2024-02-21 5:25pm
v6
· 4 months ago
3555
2024-02-21 4:35pm
v5
· 4 months ago
3562
640x640
Stretch to
2024-02-21 12:26pm
v4
· 4 months ago
3388
2024-02-21 12:16pm
v3
· 4 months ago
3694
2024-02-20 12:36pm
v2
· 4 months ago
1544
Fast
COCO
2024-01-24 11:55am
v1
· 5 months ago
961
640x640
Stretch to
v8
2024-02-21 11:53pm
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.
3828 Total Images
View All Images
Dataset Split
Train Set 82%
3131Images
Valid Set 11%
430Images
Test Set 7%
267Images
Preprocessing
Resize: Fit (black edges) in 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Exposure: Between -10% and +10%
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