KAL Image Dataset
Versions
2022-07-20 6:42pm
v13
Jul 20, 2022
2022-07-16 5:14pm_NoAugmentation
v12
Jul 16, 2022
2022-07-16 5:11pm_HighAugmentation
v11
Jul 16, 2022
2022-07-15 6:34pm_AddData
v10
Jul 15, 2022
New_data_2022-06-26
v9
Jun 26, 2022
2022-06-26 1:44pm
v8
Jun 26, 2022
2022-05-17 2:29pm
v7
May 17, 2022
2022-05-12 10:35pm
v6
May 12, 2022
2022-05-12 4:35pm
v5
May 12, 2022
2022-05-10 7:06pm
v4
May 10, 2022
2022-05-05 8:41pm
v3
May 5, 2022
2022-05-05 8:25pm
v2
May 5, 2022
v11
2022-07-16 5:11pm_HighAugmentation
Generated on Jul 16, 2022
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.
Other Formats
Choose another format.
1692 Total Images
View All Images
Dataset Split
Train Set 89%
1500Images
Valid Set 8%
136Images
Test Set 3%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±20° Vertical
Grayscale: Apply to 5% of images
Hue: Between -30° and +30°
Saturation: Between -40% and +40%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 15% of pixels
Bounding Box: Shear: ±20° Horizontal, ±10° Vertical
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