gict_dataset Dataset
Versions
2023_transferLearning_v2
v45
· a year ago
2023_transferLearning
v44
· a year ago
2023-05-25 3:09pm
v43
· a year ago
augment_flip_blur1_last_fake
v42
· 2 years ago
2022-10-10 12:54am
v41
· 2 years ago
train4_valid1_fake
v40
· 2 years ago
augment_blur1_wo_bright
v38
· 2 years ago
augment_blur_wo_bright
v37
· 2 years ago
augment_wo_bright
v34
· 2 years ago
validation
v26
· 2 years ago
2022-08-17 2:53pm
v8
· 2 years ago
v8
2022-08-17 2:53pm
Generated on Aug 17, 2022
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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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7138 Total Images
View All ImagesDataset Split
Train Set 87%
6186Images
Valid Set 9%
649Images
Test Set 4%
303Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between 0% and +37%