car_detection_updated_shee Dataset
Versions
3 different sheet combine dataset for final model - without augmentation
v6
· 8 months ago
3 different sheet combine dataset for final model - with augmentation
v5
· 9 months ago
Combine dataset-plain and updated sheet- with augmentation-
v3
· 10 months ago
Dataset with updated parking location sheet with augmentation
v2
· 10 months ago
v5
3 different sheet combine dataset for final model - with augmentation
Generated on Oct 13, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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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16551 Total Images
View All Images
Dataset Split
Train Set 97%
16038Images
Valid Set 3%
445Images
Test Set 0%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Saturation: Between -17% and +17%
Brightness: Between -12% and +12%
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