Weqaa Image Dataset
Versions
2024-04-07 8:16am
v18
· 3 months ago
2024-01-25 8:49am
v17
· 5 months ago
LAST
v16
· 9 months ago
goodSplit_70-20-10
v10
· 9 months ago
1k_balanced_colorImages
v7
· 9 months ago
good_body class removed
v6
· 10 months ago
add Rust Class
v5
· 10 months ago
Balanced
v2
· a year ago
First Try
v1
· a year ago
v6
good_body class removed
Generated on Sep 13, 2023
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.
5277 Total Images
View All Images
Dataset Split
Train Set 88%
4653Images
Valid Set 8%
414Images
Test Set 4%
210Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 600x1000
Grayscale: Applied
Modify Classes: 3 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Bounding Box: Brightness: Between -34% and +34%
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