Pikachu_finder Image Dataset
Versions
2023-11-02 11:59pm
v9
Nov 2, 2023
2023-11-02 11:39pm
v8
Nov 2, 2023
2023-11-02 11:25pm
v7
Nov 2, 2023
2023-11-02 11:06pm
v6
Nov 2, 2023
2023-11-02 10:54pm
v5
Nov 2, 2023
2023-11-02 10:40pm
v4
Nov 2, 2023
2023-11-02 7:45pm
v3
Nov 2, 2023
2023-11-02 7:28pm
v2
Nov 2, 2023
2023-11-02 7:11pm
v1
Nov 2, 2023
v4
2023-11-02 10:40pm
Generated on Nov 2, 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.
28 Total Images
View All Images
Dataset Split
Train Set 86%
24Images
Valid Set 11%
3Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
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