Project: GOAT Dataset
v6
2024-05-26 7:49pm
Generated on May 26, 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
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1895 Total Images
View All Images
Dataset Split
Train Set 88%
1659Images
Valid Set 8%
153Images
Test Set 4%
83Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-98% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between -15% and +15%
Exposure: Between -25% and +25%