PI Payload Image Dataset
Versions
raw
v50
Oct 16, 2022
v17
v49
Oct 16, 2022
v16
v47
Oct 15, 2022
v15
v46
Oct 15, 2022
v14
v45
Oct 14, 2022
v13
v44
Oct 14, 2022
v12
v40
Oct 13, 2022
V11
v38
Oct 13, 2022
v10
v37
Oct 12, 2022
v9
v36
Oct 12, 2022
v8
v35
Oct 11, 2022
v7
v30
Oct 11, 2022
V6_benchmark
v27
Oct 10, 2022
v5
v16
Oct 9, 2022
v4_extraNullImages
v15
Oct 8, 2022
V4_withTiling_fixedLabels_faulty
v14
Oct 8, 2022
V3_withoutTiling
v13
Oct 8, 2022
V2
v8
Sep 15, 2022
v47
v16
Generated on Oct 15, 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.
6771 Total Images
View All ImagesDataset Split
Train Set 87%
5878Images
Valid Set 13%
882Images
Test Set 0%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 70% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
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