Dataset Versions
Versions
2024-11-09 3:06am
v11
· 2 months ago
V2_NR_03
v10
· 3 years ago
V2_NR_02
v9
· 3 years ago
V2_NR_01
v8
· 3 years ago
V2_NO_ROTATION_02
v7
· 3 years ago
V2_NO_ROTATION_01
v6
· 3 years ago
Exporting_Raw_Validation
v5
· 3 years ago
V2_80_Reduced_02
v4
· 3 years ago
V2_80_Reduced_01
v3
· 3 years ago
V2_80_Second_180-20
v2
· 3 years ago
V2_80_First_180-20
v1
· 3 years ago
v3
V2_80_Reduced_01
Generated on May 19, 2022
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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200 Total Images
View All Images
Dataset Split
Train Set 90%
180Images
Valid Set 10%
20Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 320x320
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 -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 25 boxes with 2% size each
Mosaic: Applied