Dataset Versions
Versions
2024-05-27 11:44pm
v14
· 6 months ago
2024-05-26 1:17pm
v13
· 6 months ago
2024-05-15 9:37am
v12
· 6 months ago
MEJOR_2024-04-12 5-45pm
v11
· 7 months ago
2024-04-12 12:55pm
v10
· 7 months ago
Con imagenes Inferenciadas 1 y 2 2024-04-05 11-53am
v3
· 8 months ago
Entrada de 1056img. 2024-03-22 1-07pm
v2
· 8 months ago
No detecta bien_2024-03-22 11-06am
v1
· 8 months ago
v1
No detecta bien_2024-03-22 11-06am
Generated on Mar 22, 2024
Popular Download Formats
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.
Other Formats
Choose another format.
1104 Total Images
View All Images
Dataset Split
Train Set 87%
964Images
Valid Set 8%
93Images
Test Set 4%
47Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 99% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Exposure: Between -10% and +10%