Dataset Versions

2024-08-10 6:15am

Generated on Aug 10, 2024

Download Dataset

Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

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.

640 Total Images

View All Images

Dataset Split

Train Set 88%

561Images

Valid Set 8%

54Images

Test Set 4%

25Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 320x320

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Hue: Between -20° and +20°

Saturation: Between -30% and +30%

Exposure: Between -11% and +11%

Blur: Up to 4.5px

Noise: Up to 1.09% of pixels

Similar Projects

Instance Segmentation Model yolov9 snap yolov8 yolov8s

MYFood15 Malaysian Dishes Classification

266 images 4 models

Semantic Segmentation snap

Malaysian Food Recognition 2 Malaysian Dishes Classification

188 images

Object Detection snap

Malaysian Food Recognition Malaysian Dishes Classification

75 images

Object Detection Model snap

Nasi Lemak Food Recognition Malaysian Dishes Classification

75 images 1 model

Object Detection Model snap yolov8 yolov8s