Sphero Robot detection Dataset
Versions
2023-12-07 10:48am
v9
· 10 months ago
2023-11-13 3:36pm
v8
· a year ago
2023-10-30 1:45pm
v7
· a year ago
2023-10-09 1:18pm
v6
· a year ago
2023-09-29 10:59am
v5
· a year ago
2023-09-29 9:59am
v4
· a year ago
2023-09-29 12:25am
v3
· a year ago
2023-09-28 11:02pm
v2
· a year ago
2023-09-28 4:08pm
v1
· a year ago
v7
2023-10-30 1:45pm
Generated on Oct 30, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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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.
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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.
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3326 Total Images
View All Images
Dataset Split
Train Set 84%
2805Images
Valid Set 7%
247Images
Test Set 8%
274Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.25px
Bounding Box: Noise: Up to 5% of pixels