Dataset Versions
Versions
final version
v8
· a month ago
brown plant hopper preprocessing
v7
· 2 months ago
rice leaf roller preprocessing
v6
· 2 months ago
version 5
v5
· 2 months ago
2024-10-22 5:14pm
v4
· 2 months ago
2024-10-20 4:40pm
v3
· 2 months ago
2024-10-19 9:12am
v2
· 2 months ago
2024-08-05 4:07am
v1
· 4 months ago
v6
rice leaf roller preprocessing
Generated on Oct 23, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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459 Total Images
View All Images
Dataset Split
Train Set 88%
402Images
Valid Set 8%
38Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Static Crop: 26-82% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -24% and +24%
Blur: Up to 1.3px
Noise: Up to 1.84% of pixels