2024.3.1_train Image Dataset
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v1
2024-03-01 4:10pm
Generated on Mar 1, 2024
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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237 Total Images
View All Images
Dataset Split
Train Set 87%
207Images
Valid Set 13%
30Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
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