Dataset Versions
Versions
resize416x416-aug3x-TrainTestSplitOnly
v24
· 2 years ago
resize640x640-aug3x-TrainTestSplitOnly
v23
· 2 years ago
resize416x416-aug3x
v22
· 2 years ago
YOLOv5s
v21
· 2 years ago
raw-images_resized640
v20
· 2 years ago
YOLOv8
v18
· 2 years ago
v2-resize640_augmented3x
v15
· 2 years ago
resize640_augmented3x
v14
· 2 years ago
v2-roboflow-FAST-model
v13
· 2 years ago
2022-10-08 1:48pm
v12
· 2 years ago
raw-images_Updated
v9
· 3 years ago
roboflow-FAST-model
v7
· 3 years ago
resize_whiteEdges-v2
v5
· 3 years ago
resize_whiteEdges-augmented
v4
· 3 years ago
augmented-v2
v3
· 3 years ago
augmented-images-v1
v2
· 3 years ago
raw-images
v1
· 3 years ago
v18
YOLOv8
Generated on Jan 10, 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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3283 Total Images
View All Images
Dataset Split
Train Set 87%
2871Images
Valid Set 8%
267Images
Test Set 4%
145Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 5 boxes with 2% size each