Cones_Detection_Module Dataset
v4
Cone_Detection_V4
Generated on Nov 20, 2021
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.
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1538 Total Images
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Dataset Split
Train Set 88%
1352Images
Valid Set 8%
126Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +0%
Bounding Box: Flip: Horizontal