Etiquetado_palmas_ZC Dataset
Versions
2024-09-19 7:34pm
v18
· 3 days ago
2024-09-12 8:53pm
v17
· 10 days ago
2024-09-11 8:23pm
v15
· 11 days ago
2024-09-11 8:01pm
v14
· 11 days ago
2024-08-15 8:53pm
v13
· a month ago
2024-04-09_Deteccion_palmas
v12
· 5 months ago
2024-02-08 1:21pm
v11
· 7 months ago
2024-02-08 11:36am
v10
· 7 months ago
2024-01-29 10:42am
v9
· 8 months ago
dataset_palmas
v7
· 10 months ago
modelo_palmas
v6
· 10 months ago
identificacion_palmas_3
v5
· 10 months ago
identificacion_palmas
v1
· 10 months ago
v10
2024-02-08 11:36am
Generated on Feb 8, 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 YOLOv5.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1742 Total Images
View All Images
Dataset Split
Train Set 93%
1614Images
Valid Set 3%
59Images
Test Set 4%
69Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 1.5% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.5px