Hann Dataset
Versions
2024-07-24 3:07am
v12
· 2 months ago
2024-07-22 2:20am
v11
· 2 months ago
2024-07-17 2:19am
v10
· 2 months ago
2024-07-16 6:32am
v9
· 2 months ago
2024-07-16 6:22am
v8
· 2 months ago
2024-07-16 2:41am
v7
· 2 months ago
2024-07-15 9:07am
v6
· 2 months ago
2024-07-15 8:57am
v5
· 2 months ago
2024-07-12 7:47am
v4
· 2 months ago
2024-07-12 5:00am
v3
· 2 months ago
2024-07-12 4:59am
v2
· 2 months ago
2024-07-12 4:04am
v1
· 2 months ago
v5
2024-07-15 8:57am
Generated on Jul 15, 2024
Popular Download Formats
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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16 Total Images
View All Images
Dataset Split
Train Set 75%
12Images
Valid Set 25%
4Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: Hann
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 2.5px