Pasadas FE 2023 -v2 Dataset
Versions
2024-08-02 6:33pm
v16
· 2 months ago
2024-08-02 6:26pm
v15
· 2 months ago
2024-08-02 6:24pm
v14
· 2 months ago
2024-08-02 6:24pm
v13
· 2 months ago
2024-08-02 6:23pm
v12
· 2 months ago
2023-05-05 8:03pm
v11
· a year ago
2023-05-05 11:49am
v10
· a year ago
2023-05-05 11:41am
v9
· a year ago
2023-05-04 4:07pm
v8
· a year ago
2023-04-29 11:09am
v7
· a year ago
2023-04-29 10:51am
v6
· a year ago
2023-04-29 10:45am
v4
· a year ago
2023-04-27 7:36pm
v3
· a year ago
2023-04-27 6:58pm
v2
· a year ago
v4
2023-04-29 10:45am
Generated on Apr 29, 2023
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.
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804 Total Images
View All Images
Dataset Split
Train Set 88%
705Images
Valid Set 8%
66Images
Test Set 4%
33Images
Preprocessing
Modify Classes: 13 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 5px
Noise: Up to 3% of pixels
Cutout: 18 boxes with 5% size each