Dataset Versions
Versions
SatExpHue
v13
· 2 months ago
Hue 2024-09-11 6-53pm
v12
· 2 months ago
Noise 2024-09-11 6-40pm
v11
· 2 months ago
Blur 2024-09-11 5-45pm
v10
· 2 months ago
All Augmentations v2 2024-09-11 5-44pm
v9
· 2 months ago
Shear 2024-09-11 5-25pm
v8
· 2 months ago
Exposure 2024-09-11 5-24pm
v7
· 2 months ago
Saturation 2024-09-11 11-52am
v6
· 2 months ago
Rotation 2024-09-09 12-00pm
v5
· 2 months ago
All Augmentations 2024-09-05 9-52pm
v4
· 3 months ago
2023-10-31 10:40pm
v2
· a year ago
v9
All Augmentations v2 2024-09-11 5-44pm
Generated on Sep 11, 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
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6531 Total Images
View All Images
Dataset Split
Train Set 98%
6386Images
Valid Set 1%
50Images
Test Set 1%
95Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels