TFM_Carlos Image Dataset
Versions
Train_Validacion_Test_TFM_Carlos_8
v10
Sep 20, 2021
Train_Validacion_Test_TFM_Carlos_7
v9
Sep 17, 2021
Train_Validacion_Test_TFM_Carlos_6
v8
Sep 16, 2021
Train_Validacion_Test_TFM_Carlos_5
v7
Sep 14, 2021
Train_Validacion_Test_TFM_Carlos_4
v6
Sep 13, 2021
Train_Validacion_Test_TFM_Carlos_2
v2
Sep 11, 2021
Train_Validacion_Test_TFM_Carlos
v1
Sep 10, 2021
v9
Train_Validacion_Test_TFM_Carlos_7
Generated on Sep 17, 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.
Other Formats
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3807 Total Images
View All Images
Dataset Split
Train Set 92%
3514Images
Valid Set 6%
220Images
Test Set 2%
73Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 6px
Bounding Box: Noise: Up to 3% of pixels
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