Dataset Versions
Versions
Original
v14
· 3 months ago
stretch_2048
v13
· 3 months ago
stretch_1024
v12
· 3 months ago
reflect_1024
v11
· 3 months ago
v2_1024
v10
· a year ago
v2_512
v9
· a year ago
v512_all
v7
· a year ago
v1024_all
v6
· a year ago
v2048_no_Internet_Images
v5
· a year ago
v2048_all_Images
v4
· a year ago
2023-10-02 1:56pm
v3
· a year ago
v6
v1024_all
Generated on Oct 13, 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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3190 Total Images
View All Images
Dataset Split
Train Set 85%
2706Images
Valid Set 9%
276Images
Test Set 7%
208Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 2% of images
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Mosaic: Applied