poke001 Image Dataset
Versions
2023-07-26 2:26pm
v13
· a year ago
2023-07-26 2:48am
v12
· a year ago
2023-07-25 11:58pm
v11
· a year ago
2023-07-25 10:20pm
v10
· a year ago
2023-07-25 10:18pm
v9
· a year ago
2023-07-18 9:18am
v6
· a year ago
2023-07-17 8:13pm
v5
· a year ago
2023-07-17 8:10pm
v4
· a year ago
2023-07-17 7:57pm
v3
· a year ago
v6
2023-07-18 9:18am
Generated on Jul 18, 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.
2479 Total Images
View All Images
Dataset Split
Train Set 87%
2169Images
Valid Set 8%
207Images
Test Set 4%
103Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -49% and +49%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Noise: Up to 3% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 70% Maximum Zoom
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